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[CFP] Foundations and Future of Change in Artificial Intelligence (FCAI) - Workshop @ ECAI

by Kai Sauerwald

**************************************************************************************** FCAI 2025 @ ECAI 2025 Foundations and Future of Change in Artificial Intelligence October 25/26, Bologna, Italy https://fcai2025.machine-reasoning.org/ Workshop co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025) **************************************************************************************** Changing information transversely affects nearly any task and process that we aim to formalize computationally. Consequently, making sense of how to change information is a central aspect and precursor for further advancements in many domains. Naturally, approaches to describe changes, to deal with change, and to conduct changes have been developed in very different areas of artificial intelligence. These approaches generally consider changing from different angles and highlight diverse aspects that sometimes complement each other. For instance, in database theory, much work has been devoted to transactions as the main representation of change and the study of how that affects the computational complexity of querying such databases. On the other hand, researchers in belief change investigated the axiomatic and semantics of different kinds of changes in formal theories. Recent advancements in Machine Learning pose new and exciting challenges in formal approaches to change, which seem conceptually different from classical approaches to change. This workshop aims to bring together researchers from different areas of AI and beyond who work on change in their respective areas and see potential in bridging approaches or for radically advanced existing approaches to change to be combined with new ideas and perspectives. We also invite works that provide general insights on change that are important for multiple areas of artificial intelligence or even for computer science in general. ********************** *** List of Topics *** The workshop welcomes contributions on every topic related to the formal treatment of change, the evolution of representations in artificial intelligence, and approaches that implement such approaches. The following lists potential topics (but is not limited to these): • Position papers on the foundations and future of change • Logics for the representations of changes or reasoning about changes • Belief change theory • Repair in databases and ontologies • Database update and querying • Dynamic complexity theory • Approaches to the meaning and semantics of change, e.g., conditionals and plausibility • Alternative meanings of change • Theories of aspects and kinds of changes, like inconsistency, time or ontologies of change • Foundations of editing, retraining or learning of subsymbolic representations • Learning as a change process • Algorithms to compute changes • Approaches to track changes • Philosophical aspects of change • Updating incomplete information • Dynamics of logic and database systems • Evolution and versioning • Reasoning about update programs ******************************** *** Deadlines and Submission *** • Paper submission: July 13, 2025 • Notification: August 3, 2025 • Workshop: October 25/26, 2025 (tentative) There are two types of submissions: • Full papers. Full papers should be at most 18 pages (one column), excluding references and acknowledgments. Papers already published or accepted for publication at other conferences are also welcome, provided that the original publication is mentioned in a footnote on the first page and the submission at FCAI falls within the authors’ rights. In the same vein, papers under review for other conferences can be submitted with a similar indication on their front page. • Extended Abstracts. Extended abstracts should be at most 5 pages (one column), excluding references and acknowledgments. The abstracts should introduce work that has recently been published, is under review, or is ongoing research at an advanced stage. We highly encourage to attach to the submission a preprint/postprint or a technical report. Such extra material will be read at the discretion of the reviewers. Submitting already published material may require permission by the copyright holder. Submission will be through the EasyChair conference system: https://easychair.org/my/conference?conf=fcai2025 The accepted papers will be made available electronically in the CEUR Workshop Proceedings series as informal proceedings (http://ceur-ws.org/). The copyright of the papers remains with the authors. Full papers will be indexed by dblp.org; but extended abstracts published on CEUR proceedings will not be indexed by dblp.org. ***************** *** PC Chairs *** • Maria Vanina Martinez (Artificial Intelligence Research Institute (AAAI-CSIC), Barcelona, Spain) • Nina Pardal (University of Huddersfield, UK) • Kai Sauerwald (FernUniversität in Hagen, Germany) *************************** *** Further Information *** For further information, please visit the FCAI webpage: https://fcai2025.machine-reasoning.org/ Please feel free to contact the organizer of FCAI 2025. Information on the venue and registration can be obtained from the ECAI 2025 website: https://ecai2025.org/

2 weeks, 1 day

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107. Arbeitstagung Allgemeine Algebra (AAA107) [107th Workshop on General Algebra] (second announcement)

by Leonard Kwuida

107. Arbeitstagung Allgemeine Algebra (AAA107) [107th Workshop on General Algebra] www.bfh.ch/aaa107 *June 20-22, 2025* preceded by mini-courses on CSP and Quantum Computing, *June 18--20, 2025* The AAA107 is jointly organized by the University of Bern, the Bern University of Applied Sciences (BFH) and the Pädagogische Hochschule Bern. It is coordinated by the BFH and will take place on the Marzili campus of School of Business, Bern University of Applied Sciences, Brückenstrasse 73, 3005, Bern, Switzerland. The scientific program starts on Friday, 20 June 2025 at 9:00, and ends on Sunday, 22 June 2025 at 13:00. In addition, AAA107 will feature two mini-courses (June 18--20 2025) and an application session (Friday June 20th 2025). *Plenary lectures*: - David Clark (SUNY New Paltz, USA). Title: Groupoid Terms from Biological Evolution - Mai Gehrke (Université Côte D’Azur, France). Title: A unifying point of view on various topological dualities for lattices - Gergő Gyenizse (University of Szeged, Hungary). Title: Strongly abelian subsets - George Metcalfe (Universität Bern, Switzerland). Title: Equational reasoning in ordered groups and ordered monoids - Jakub Opršal (University of Birmingham, UK). - Serafina Lapenta (University of Salerno, Italy). Title: Baker-Beynon duality beyond semisimplicity. - Hanamantagouda P. Sankappanavar (SUNY New Paltz, USA). - Etienne Temgoua A. (University of Yaoundé I, Cameroon). Title: Double Boolean Algebras. *Contributed Talks*: Besides the plenary talks, contributed talks by the conference participants will be scheduled. If you intend to give a contributed talk (25min), please register and submit an abstract not later than 31st May 2025. *Mini courses*: June 18—20, 2025 - A mini-course on Constraint Satisfaction Problem (led by Dmitriy Zhuk, Charles University, Czech Republic) - A mini course on Quantum Computing (led by Stefan Wolf, Università della Svizzera italiana) *Application Session* On Friday 20th June 2025, there will be an open session for everybody on Applications of Algebra: a Rubik's Cube contest (led by Leonard Kemachin, Gymnasium Kirchenfeld, Bern), followed by a gentle introduction to the abstract algebra behind it (led by Peter Mayr, University of Colorado at Boulder, USA) *Organization Committee*: Joel Adler (PH Bern), Isabel Hortelano Martín (Uni Bern), Adam Kurpisz (BFH), Michel Krebs (BFH, co-chair), Leonard Kwuida (BFH, co-chair) Reinhard Riedl (BFH), Simon Santschi (Uni Bern). Prof. Dr. Leonard Kwuida Dozent für Mathematik, Statistik und Data Science https://sites.google.com/view/kwuida <https://sites.google.com/view/kwuida/home>

2 weeks, 5 days

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XVII Madrid UPM Machine Learning and Advanced Statistics Summer School (June 16th - June 27th, 2025) - Early registration reminder

by mlas＠fi.upm.es

Dear colleagues, We would like to remind you that early registration for the Madrid UPM Machine Learning and Advanced Statistics summer school is open until May, 27th (included). The summer school will be held in Boadilla del Monte, near Madrid, from June 16th to June 27th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: https://www.dia.fi.upm.es/MLAS There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whomever you think may find it interesting. Best regards, Pedro Larrañaga, Concha Bielza, Bojan Mihaljević and Laura Gonzalez Veiga. -- School coordinators. *** List of courses and brief description *** # Week 1 (June 16th - June 20th, 2025) ## 1st session: 9:45-12:45 ### Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: R. ### Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. ## 2nd session: 13:45-16:45 ### Course 3: Supervised Classification (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: python. ### Course 4: Reinforcement learning (15 h) Introduction. Dynamic programming methods. Temporal-difference learning. Policy gradient methods. Causal reinforcement learning. Practical demonstration: R. ## 3rd session: 17:00 - 20:00 ### Course 5: Deep Learning (15 h) Introduction. Learning algorithms. Learning in deep networks. Deep Learning for Computer Vision. Deep Learning for Language. Practical session: Python notebooks with Google Colab with keras, Pytorch and Hugging Face Transformers. ### Course 6: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. # Week 2 (June 23rd - June 27th, 2025) ## 1st session: 9:45-12:45 ### Course 7: Causality (15 h) Introduction. Causal graphs. Mediation analysis. Sensitivity analysis to unmeasured confounding. Counterfactual reasoning. Practical sessions: R. ### Course 8: Clustering (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advice. Practical session: R. ## 2nd session: 13:45-16:45 ### Course 9: Gaussian Processes and Bayesian Optimization (15 h) Introduction to Gaussian processes. Sparse Gaussian processes. Deep Gaussian processes. Introduction to Bayesian optimization. Bayesian optimization in complex scenarios. Practical demonstration: python using GPytorch and BOTorch. ### Course 10: Explainable Machine Learning (15 h) Introduction. Inherently interpretable models. Post-hoc interpretation of black box models. Basics of causal inference. Beyond tabular and i.i.d. data. Other topics. Practical demonstration: Python with Google Colab. ## 3rd session: 17:00-20:00 ### Course 11: Generative AI (15 h) Introduction to the course. Neural networks and deep learning. Generative AI for images. Generative AI for language. Hands-on session: Pytorch, VAEs, GANs, diffusion models, LLMs, aligning a generative LLM, using an open-source image generation model. ### Course 12: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Hands-on sessions: R and python.

2 weeks, 6 days

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CONCEPTS 2025 (Extended deadline)

by Peggy Cellier

Dear colleagues, We are extending the article submission deadline to April 7, 2025 (AoE). Please note that this deadline is firm. For more details, please have a look to the CFP below. Best regards, CONCEPTS chairs +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *2nd International Joint Conference on Conceptual Knowledge Structures (CONCEPTS 2025)* *Cluj-Napoca, România- September, 8th-12th, 2025* *_https://concepts2025.conference.ubbcluj.ro/ <https://concepts2025.conference.ubbcluj.ro/>_* 29th Intl. Conf. on Conceptual Structures (ICCS) 19th Intl. Conf. on Formal Concept Analysis (ICFCA) 18th Intl. Conf. on Concept Lattices and their Applications (CLA) CONCEPTS, the International Conference on Conceptual Knowledge Structures is a merger of the three conferences CLA, ICCS, and ICFCA, which have been essential venues for researchers and practitioners working on theoretical and applied aspects of formal concept analysis and representation of conceptual knowledge, as well as closely related areas, such as data mining, information retrieval, knowledge management, and discovery. CONCEPTS 2025, the second conference in this new series, aims to continue the tradition and standards of previous conferences and to become a key annual meeting for all members of the three communities, CLA, ICCS, and ICFCA, to keep abreast of the advances and new challenges in the field. Main topics include but are not limited to: * Fundamental aspects of Formal Concept Analysis (e.g., FCA theory, concept lattices, algorithms and computational complexity) * Conceptual graphs, graph-based models for human reasoning * Knowledge spaces and learning spaces * Fuzzy, relational, and/or triadic conceptual structures * Conceptual knowledge acquisition, management, exploration, analysis, and/or visualization * Probabilistic or approximative approaches to conceptual knowledge * Bridging conceptual structures to information sciences, artificial intelligence, data mining, machine learning, information retrieval, database theory, software engineering, and other areas of computer science * Ontologies, semantic web, knowledge graphs, and their relation to conceptual knowledge structures such as concept lattices and conceptual graphs. * Conceptual structures in natural language processing and linguistics * Understanding real-world data and modeling real-world phenomena with conceptual structures (e.g., applications in digital humanities, cybersecurity, biology, medicine, social network analysis) * Psychology, philosophy, and conceptual structures. ** *Submission details:* Submissions are invited on significant, original (previously unpublished) research on the topics of the conference: * Regular papers up to 16 pages and short papers up to 8 pages are to be published by Springer in the LNAI series as a proceedings volume. All submissions will be subject to single-blind peer review. Accepted papers have to be presented at the conference on-site. Therefore, at least one author per paper has to register timely and attend the conference on-site. /***Regular and short papers***/ - Abstract submission: *March 31, 2025 (AoE)* - Full paper submission: *April 7, 2025 (AoE) Firm deadline * - Notification of acceptance: *May 21, 2025* - Camera-ready papers due: *June 5, 2025* Submission link:_<https://equinocs.springernature.com/home>_https://equinocs.springernature.com/service/concepts2025 <https://equinocs.springernature.com/service/concepts2025> Please select the appropriate category for your submitted manuscript, “regular paper” or “short paper.” Please visit the page_<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>__Information for authors <https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>_ on Springer's website for templates and formatting style. *Organization:* _General and Conference Chair:_ Christian Săcărea, Babeș-Bolyai University, Romania _Program Chairs:_ Peggy Cellier, IRISA/INSA Rennes, France Bernhard Ganter, TU Dresden, Germany Rokia Missaoui, Université du Québec en Outaouais, Canada _Local organizer Committee:_ Christian Săcărea, Babeș-Bolyai University, Cluj-Napoca, România Diana Cristea, Babeș-Bolyai University, Cluj-Napoca, Diana Șotropa, Babeș-Bolyai University, Cluj-Napoca _Executive Board:_ Jaume Baixeries, Polytechnic University of Catalonia, Spain Radim Belohlavek, Palacký University Olomouc, Czech Republic Tanya Braun, University of Münster, Germany Madalina Croitoru, University of Montpellier, France Sébastien Ferré, University of Rennes, France Sergei Kuznetsov, HSE University, Moscow, Russia Rokia Missaoui, Université du Québec en Outaouais, Canada Amedeo Napoli, LORIA, Nancy, France Sergei Obiedkov, TU Dresden, Germany Manuel Ojeda-Aciego, University of Malaga, Spain Uta Priss, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany Gerd Stumme, University of Kassel, Germany _Program Committee:_ Jaume Baixeries, Polytechnic University of Catalonia, Spain Alexandre Bazin, LIRMM, Montpellier, France Mike Behrisch, Technische Universität Wien, Austria Sadok Ben Yahia, Technology University of Tallinn, Estonia Karell Bertet, La Rochelle University, France Inma P. Cabrera, Universidad de Málaga, Spain Peggy Cellier, IRISA/INSA Rennes, France Maria Eugenia Cornejo Piñero, University of Cádiz, Spain Christophe Demko, La Rochelle University, France Xavier Dolques, Université de Strasbourg, France Dominik Dürrschnabel, Universität Kassel, Germany Sébastien Ferré, IRISA université de Rennes, France Bernhard Ganter, TU Dresden, Germany Alain Gely, université de Lorraine, France Tom Hanika, University of Hildesheim, Germany Tobias Hille, University of Kassel Germany Marianne Huchard, LIRMM, Univ. Montpellier, France Mohamed Hamza Ibrahim, University of Quebec in Outaouais, Canada Dmitry Ignatov, HSE University, Moscow, Russia Mehdi Kaytoue, Infologic R&D, France Blaise Blériot Koguep Njionou, Université de Dschang, Cameroun Francesco Kriegel, TU Dresden, Germany Sergei Kuznetsov, HSE University, Moscow, Russia Leonard Kwuida, Bern University of Applied Sciences, Switzerland Florence Le Ber, Université de Strasbourg, France Pierre Martin, University of Montpellier, France Jesús Medina, University of Cádiz, Spain Rokia Missaoui, University of Quebec in Outaouais, Canada Amedeo Napoli, LORIA, Université de Lorraine, France Sergei Obiedkov, TU Dresden, Germany Manuel Ojeda-Aciego, Universidad de Málaga, Spain Jan Outrata, Palacký University Olomouc, Czech Republic Tim Pattison, Defence Science and Technology Group, Australia Carmen Peláez-Moreno, Univ. Carlos III de Madrid, Spain Uta Priss, Ostfalia Hochschule of Applied Sciences, Wolfenbüttel, Germany Sandor Radeleczki, University of Miskolc, Hungary Eloísa Ramírez Poussa, Universidad de Cádiz, Spain Sebastian Rudolph, TU Dresden, Germany Baris Sertkaya, Frankfurt University of Applied Sciences, Germany Henry Soldano, Université Paris 13, France Petko Valtchev, Université du Québec à Montréal, Canada Gerd Stumme, University of Kassel, Germany Martin Trnecka, Palacký University Olomouc, Czech Republic Francisco José Valverde-Albacete, Univ. Rey Juan Carlos, Madrid, Spain We look forward to meeting you in Cluj-Napoca. Please, feel free to contact us for any further information. Sincerely yours, Peggy Cellier, Bernhard Ganter, and Rokia Missaoui *CONCEPTS 2025 Program chairs* Email contact address: concepts25(a)lists.cs.uni-kassel.de

3 weeks, 5 days

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[RW 2025] 2nd Call for Participation: 21st Reasoning Web Summer School

by Kai Sauerwald

Second Call for Participation 21st Reasoning Web Summer School September 25-28, 2025, Istanbul, Turkey https://2025.declarativeai.net/events/reasoning-web ************************************************************************************************************ We are happy to announce that the 21st edition of the Reasoning Web Summer School (RW 2025) will take place from September 25-28, 2025 in Istanbul, Turkey. RW 2025 is part of Declarative AI 2025, which also includes the 9th International Joint Conference on Rules and Reasoning (RuleML+RR) and DecisionCAMP 2025, both held from September 22-24, 2025. The purpose of the Reasoning Web Summer School is to disseminate recent advances in reasoning techniques and relevant topics related to ontologies, rules, logic, the semantic web, linked data, and knowledge graph applications. The summer school is primarily intended for individuals who are currently pursuing or have recently completed postgraduate degrees (PhD or MSc). However, the school also welcomes the participation of researchers at later career stages who wish to become acquainted with the area or deepen their understanding of recent developments. The RW school is a great venue for meeting like-minded researchers and exchanging with an engaging and approachable group of international lecturers! *** Summer School Program *** As in previous years, the summer school will feature 8 tutorials delivered by researchers who are experts in the area. Here are the confirmed speakers and topics for this year's school: Camille Bourgaux: Inconsistency-Tolerant Semantics Based on Preferred Repairs Esra Erdem, Aysu Bogatarkan, Muge Fidan: Human-Centered ASP Applications: Representation and Reasoning Patrick Koopmann: Explaining Reasoning Results for Description Logic Ontologies Markus Krötzsch: Modern Datalog: Concepts, Methods, Applications Antonella Poggi: From One-Level to Multi-Level Ontology-Based Data Access Francesco Ricca and Giuseppe Mazzotta: ASP Essentials: Modelling and Efficient Solving Luciano Serafini: Neuro-Symbolic Artificial Intelligence Przemyslaw Walega: Reasoning about Time in DatalogMTL Tutorial abstracts and speaker bios can be found on the RW 2025 website: https://2025.declarativeai.net/events/reasoning-web/program *** Applications & Registration *** To participate in RW 2025, you will need to submit a short application, with information on your academic and research background and motivation for attending the school. You can do so by filling out the following form: https://docs.google.com/forms/d/1aIIeJdHS2zash1gCMmqw2_UnFMNO7DMA7X8SyI8x3b… or alternatively, by sending the organizers an email with all of the information requested on the form. Applications will be reviewed on a rolling basis, and notifications will be sent within 1-2 weeks from the time of application. Successful applicants will receive information on how to pay the registration fee to confirm their spot in the school. There is a discounted fee of 240€ (incl. VAT) for applications received by May 31st (180€, for local participants with a Turkish affiliation). The regular fee of 300€ (incl. VAT) applies to applications received on or after June 1st (240€, for local participants with a Turkish affiliation). The registration fee includes access to the lectures, lunches, and coffee breaks for the four days, as well as a social event. Note that students who participate in RW 2025 are also encouraged to apply to the Rule ML+RR Doctoral Consortium. Students attending both events will not need to pay the Doctoral Consortium fee. *** If you require additional information, please get in touch with the chairs. * Alessandro Artale, Free University of Bozen-Bolzano, Italy artale(a)inf.unibz.it * Meghyn Bienvenu, CNRS & University of Bordeaux, France meghyn.bienvenu(a)u-bordeaux.fr ** You received this mail via the description logic mailing list; for more ** ** information, visit the description logic homepage at https://dl.kr.org/ ** ** SUBSCRIBE or UNSUBSCRIBE: ** ** https://mailman.zih.tu-dresden.de/groups/listinfo/dl **

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[RuleML+RR 2025] Rule Challenge, Doctoral Consortium, Industry Track and Networking Session

by Kai Sauerwald

******************************************************************************* RuleML+RR 2025 Associated Events -- Call fo Contributions Rule Challenge, Doctoral Consortium, Industry Track and Networking Session ******************************************************************************* *** RuleML+RR 2025 *** *** 22-24 September 2025 *** *** İstanbul, Türkİye *** Call for contributions for events associated with RuleML+RR 2025: Rule Challenge: https://2025.declarativeai.net/events/ruleml-rr/rule-challenge Doctoral Consortium: https://2025.declarativeai.net/events/ruleml-rr/doctoral-consortium Industry Track: https://2025.declarativeai.net/events/ruleml-rr/industry-track Networking Session: https://2025.declarativeai.net/events/ruleml-rr/networking-session RuleML+RR 2025 (https://2025.declarativeai.net/events/ruleml-rr) is part of Declarative AI 2025 (https://2025.declarativeai.net/) ******************************************************************************* *** RuleML+RR 2025 *** ********************** The International Joint Conference on Rules and Reasoning (RuleML+RR) is the leading international joint conference in the field of rule-based reasoning. As in the last years, RuleML+RR 2025 features the following associated events in addition to the main track: Rule Challenge, Doctoral Consortium, Industry Track, Project Networking Session Further below, you find more information on the respective events. All associated events share the same paper submission deadline: July 10th, 2025 (AoE) Submissions for each of these events are made via Easychair: https://easychair.org/conferences/?conf=rulemlrr2025 Please select the respective track when you make a submission. ******************************************************************************* *** Rule Challenge *** Chairs: Alessandro Margara, Politecnico di Milano, Italy Tomáš Kliegr, Prague University of Economics and Business, Czechia Ognjen Savkovic, Free University of Bozen-Bolzano, Italy ********************** The 19th International Rule Challenge is a standout feature of the RuleML+RR conference, fostering friendly competition among innovative rule-oriented tools, prototypes, and applications tailored to research, industry, and government. Participants are invited to showcase their solutions to self-defined challenges, but also propose open challenges for the community to tackle. Accordingly, submissions are welcome in two main categories: * [Challenge Proposals] Papers outlining open challenges, interesting problems from academia or industry, or benchmarks relevant to the community. Submissions should include task descriptions, datasets, and evaluation criteria, highlighting opportunities for rule-based approaches to provide solutions. * [Challenge Solutions] Papers presenting benchmarking or comparative analyses of rule engines, rule-based machine learning techniques, or case studies. Submissions may also cover industrial experiences, rule- and model-driven engineering, or innovative applications such as deployment of rule-based reasoning in geographically distributed, edge-to-cloud scenarios. Key themes of the Rule Challenge include, but are not limited to the following: * Rule-based machine learning tools and techniques * Large language models (LLMs) and rule learning * Rule-based approaches in artificial intelligence * Rule-based Complex Event Processing / Recognition (CEP/CER) * Stream reasoning * Business rules modelling * Rule standardization for research, industry and government * Graph-relational data and knowledge systems * Higher-order logic and modal logic systems * Rule and ontology combinations * Distributed rule systems Multi-agent systems * Ontology-Based Data Access (OBDA) systems * Answer Set Programming (ASP) systems * Constraint Logic Programming (CLP) systems * (Controlled) Natural language interfaces * Rules and model-driven engineering The challenge seeks high quality, original papers, potentially referencing online material, and ranging between 8-15 pages. Accepted papers will be published as part of CEUR proceedings and should be in the CEUR-WS.org style template CEURART (1-column variant). Please submit your paper via: https://easychair.org/conferences/?conf=rulemlrr2025 to the Rule Challenge track. Important Dates: * July 10th, 2025: Paper submission deadline * August 31st, 2025: Notification of acceptance Further information can be found on the Rule Challenge website: https://2025.declarativeai.net/events/ruleml-rr/rule-challenge ******************************************************************************* *** Doctoral Consortium *** Chairs: Shqiponja Ahmetaj, TU Wien, Austria Riccardo Tommasini, INSA Lyon, France *************************** The RuleML+RR 9th Doctoral Consortium 2025 (DC) is an initiative of the RuleML+RR community to attract and promote student research in Artificial Intelligence, especially research on rule-based formalisms and reasoning in such formalisms. It offers students a close contact with leading experts in the field, as well as the opportunity to present and discuss their ideas in a dynamic and friendly setting. We invite PhD students at an early or intermediate stage of their PhD studies, as well as exceptional master’s students who are interested in pursuing a PhD, to submit papers describing their research on any of the topics of RuleML+RR 2025. RuleML+RR DC papers range between 8 and 15 pages, are written in English, will be published as part of CEUR proceedings, and should follow the CEUR-WS.org style template CEURART (1-column variant). They are submitted electronically in PDF together with a maximum 2 page-long CV (the paper and the CV should be submitted together as one PDF file, but the CV is not counted within the 15 pages limit and is not published in the proceedings if the paper is accepted). The submission should cover the following aspects: * The identification of a significant problem in a research field relevant to RuleML+RR 2025. * An outline of the current knowledge in the problem’s domain, as well as an overview of existing solutions. * A clear formulation of the research question and motivation. * A presentation of (possibly preliminary) ideas, the proposed approach, and the results achieved so far. * A sketch of the applied research methodology and its positioning in the field. * A description of the student’s contribution to the research. * A discussion of how the suggested solution is different, new, or better as compared to the state of the art. * A research plan and the potential achievements. Please submit your paper via: https://easychair.org/conferences/?conf=rulemlrr2025 to the Doctoral Consortium track. Important Dates: * July 10th, 2025: Paper submission deadline * July 31st, 2025: Notification deadline Further information can be found on the Doctoral Consortium website: https://2025.declarativeai.net/events/ruleml-rr/doctoral-consortium ******************************************************************************* *** Industry Track *** Chairs: Luigi Bellomarini, Banca d’Italia, Italy Evgeny Kharlamov, Bosch Center for Artificial Intelligence, Germany Ioana Georgiana Ciuciu, Babeș-Bolyai University, Romania ********************** The RuleML+RR industry track welcomes papers describing original industrial advances and application achievements in all areas of Rules and Reasoning-based technologies. We are interested in experiences from practitioners when applying rules to industries such as engineering, manufacturing, finance, agriculture, energy, media, telecommunications, healthcare, life sciences, government, smart cities, tourism, cultural heritage, retail, logistics, transportation, education, entertainment, legal services, real estate, environmental management, cybersecurity, autonomous systems, aerospace, defense, and other emerging fields. Submissions are invited on all facets of Rules and Reasoning, including efforts to bridge recent research innovations with practical applications and industrial challenges, with a strong focus on the interplay between reasoning techniques and machine learning. We encourage submissions on the following topics: * Integration of Rules, Reasoning, and AI Technologies * Rules and Reasoning for Knowledge Graphs and Ontologies * Advanced Uses of Rules and Reasoning in Scalable Applications * Rules and Reasoning in Regulatory Technology (RegTech) * Responsible Use of AI and Rules Technologies We welcome extended abstracts of minimum 5 and maximum 6 pages (including the references) to be submitted to the Industry Track. Accepted papers will be published as part of CEUR proceedings and should be written in English following in the CEUR-WS.org style template CEURART (1-column variant). Reviews will be done by the committee of members from both industry and academia. Submitted papers must be original contributions written in English. Please submit your paper via: https://easychair.org/conferences/?conf=rulemlrr2025 to the Industry Track. Important Dates: * July 10th, 2025: Paper submission deadline * July 31st, 2025: Notification deadline Further information can be found on the Industry Track website: https://2025.declarativeai.net/events/ruleml-rr/industry-track ******************************************************************************* *** Networking Session *** Chairs: Dumitru Roman, SINTEF AS, Norway George Konstantinidis, University of Southampton, UK Emanuel Sallinger, TU Wien, Austria ************************** The project networking session of RuleML+RR 2025 aims to bring together relevant projects working in the area of data and AI with particular focus on, but not limited to, the event topics: rules, reasoning, decisions, and explanations. The session will provide an opportunity to: * Share knowledge between research and innovation projects operating in the area of data and AI. * Identify potential synergies between the projects, e.g., transfer data and AI technology between projects, joint publications, joint dissemination activities, etc. * Discuss funding opportunities such as Horizon Europe, Digital Europe, ERC, etc. The session targets research and innovation projects operating at all stages: * Ending (or recently ended) projects, which have results to transfer and/or dissemination of results; * Ongoing projects, seeking collaboration and networking opportunities with external stakeholders and external projects; * Upcoming projects/initiative, searching for potential new ideas and partners for consortia. Interested projects should submit abstracts of minimum 5 and maximum 6 pages (including the references), describing the project’s objective, possible information to be shared with other projects and potential interests in other projects. The papers will be included in the companion proceedings of the event published by CEUR and should be formatted in the CEUR-WS.org style template CEURART (1-column variant). Submitted papers must be original contributions written in English. Please submit your paper via: https://easychair.org/conferences/?conf=rulemlrr2025 to the Networking Session track. Important Dates: * July 10th, 2025: Paper submission deadline * July 31st, 2025: Notification deadline Further information can be found on the Project Networking Session website: https://2025.declarativeai.net/events/ruleml-rr/networking-session ******************************************************************************* ******************************************************************************* RuleML+RR 2025 (https://2025.declarativeai.net/events/ruleml-rr) and its associated events are part of Declarative AI 2025 (https://2025.declarativeai.net/). The following lists further chairs involved in making these events possible. General Chairs of Declarative AI 2025 Hasan Dağ, Kadir Has University, Türkiye Anni-Yasmin Turhan, Paderborn University, Germany Ahmet Soylu, Kristiania University of Applied Sciences, Norway Local Chair Mehmet Nafiz Aydin, Kadir Has University, Türkiye RuleML+RR Program Chairs Aidan Hogan, University of Chile, Chile Ken Satoh, National Institute of Informatics, Japan Proceedings Chairs Dumitru Roman, SINTEF AS, Norway Ahmet Soylu, Kristiania University College, Norway Publicity Chairs Kai Sauerwald, FernUniversität in Hagen, Germany Tor-Morten Grønli, Kristiania University College, Norway Romuald Esdras Wandji, Umeå University, Sweeden Reasoning Web 2025 Alessandro Artale, Free University of Bozen-Bolzano, Italy Meghyn Bienvenu, University of Bordeaux, France DecisionCAMP 2025 Jacob Feldman, OpenRules, USA

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[RuleML+RR 2025] 2nd Call for papers

by Kai Sauerwald

############################################################################### The 9th International Joint Conference on Rules and Reasoning (RuleML+RR 2025) == Call for Papers == *** RuleML+RR 2025 *** *** 22-24 September 2025 *** *** İstanbul, Türkİye *** Abstract: June 2nd, 2025 Paper: June 9th, 2025 Homepage: https://2025.declarativeai.net/events/ruleml-rr RuleML+RR 2025 is part of Declarative AI 2025 (https://2025.declarativeai.net/) ############################################################################### RuleML+RR 2025 is a leading international joint conference in the field of rule-based reasoning. One of the main goals of RuleML+RR is to build bridges between academia and industry in the area of semantic reasoning. RuleML+RR 2025 aims to bring together researchers and practitioners interested in the foundations and applications of rules and reasoning. It provides a forum for stimulating cooperation between different communities focused on the research, development, and applications of rule-based systems. We solicit high-quality papers related to theoretical advances, novel technologies, and applications that involve rule-based representation and reasoning or other declarative forms of artificial intelligence. The RuleML+RR 2025 conference is part of the event “Declarative AI: Rules, Reasoning, Decisions, and Explanations” (https://2025.declarativeai.net/) and is co-located with DecisionCAMP 2025 and the Reasoning Web Summer School. Apart from the main track, it features: * Rule Challenge (https://2025.declarativeai.net/events/ruleml-rr/rule-challenge), * Doctoral Consortium (https://2025.declarativeai.net/events/ruleml-rr/doctoral-consortium), * Industry Track (https://2025.declarativeai.net/events/ruleml-rr/industry-track), * Project Networking Session (https://2025.declarativeai.net/events/ruleml-rr/networking-session) *** Topics *** RuleML+RR welcomes research from all areas of Rules and Reasoning. The topics of the conference include, but are not limited to: * Ontology/Semantic Web * Rules for AI and AI for Rules * Rules and Reasoning / Logics * Rules-Based Systems * Rules and Interoperability * Constraints and Schema * System Descriptions, Applications and Experiences of Ontologies and Rules See the conference homepage for more details on the topics: https://2025.declarativeai.net/events/ruleml-rr/cfp *** Important Dates *** Main track: Abstract submission: June 2, 2025 Paper submission: June 9, 2025 Notification: July 28, 2025 Conference: September 22–24, 2025 Associated events (Rule Challenge, Doctoral Consortium, Industry Track, and ProjectNetworking Session) - July 10, 2025: Paper submission deadline - July 31, 2025: Notification of acceptance For each of these deadlines, a cut-off point of 23:59 AOE applies. **Submission and Publication** High-quality papers related to theoretical advances, novel technologies, and artificial intelligence applications concerning explainable algorithmic decision-making that involve rule-based representation and reasoning are solicited. We accept the following submission formats for papers: - Long papers (up to 15 pages in LNCS style excluding references, plus 2 additional pages for references) - Short papers (up to 8 pages in LNCS style excluding references, plus 1 additional page for references) Long papers should present original and significant research and/or development results. Short papers should concisely describe general results or specific applications, systems, or position statements. All submissions must be prepared in Springer's LNCS style (http://www.springer.com/comp/lncs/authors.html). Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference/workshop with formal proceedings. Double submission to a workshop with informal proceedings is allowed. Papers put on arXiv are also allowed as long as they are not refereed (i.e., formally reviewed by peers). Submissions to the RuleML+RR conference - abide by the page limits (see above) - are not anonymous - can have additional material included as an external report (appendices to the submission are not permitted and a paper should be self-contained) Papers should be written in English and submitted using EasyChair: https://easychair.org/conferences/?conf=rulemlrr2025 The conference proceedings will be published by Springer in the Lecture Notesin Computer Science series (LNCS) after the conference. Proceedings of the associated events will be published by CEUR. Special Issues of Theory and Practice of Logic Programming and Transactions on Graph Data and Knowledge are planned with extended versions of selected papers. The main track's best paper will be awarded the RuleML+RR Harold Boley Distinguished Paper Award 2025 and best student paper will be awarded the RuleML+RR Best Student Paper Award 2025. The best RuleML Challenge paper will be awarded the RuleML+RR Best Rule Challenge Paper Award 2025. The best Doctoral Consortium paper will be awarded the RuleML+RR Best Doctoral Consortium Paper Award 2025. ***Chairs*** Program Chairs Aidan Hogan, University of Chile, Chile Ken Satoh, National Institute of Informatics, Japan Proceedings Chairs Dumitru Roman, SINTEF AS, Norway Ahmet Soylu, Kristiania University College, Norway Rule Challenge Chairs Alessandro Margara, Politecnico di Milano, Italy Tomáš Kliegr, Prague University of Economics and Business, Czechia Doctoral Consortium Chairs Shqiponja Ahmetaj, TU Wien, Austria Riccardo Tommasini, INSA Lyon, France Industry Track Chairs Luigi Bellomarini, Banca d’Italia, Italy Evgeny Kharlamov, Bosch Center for Artificial Intelligence, Germany Ioana Georgiana Ciuciu, Babeș-Bolyai University, Romania Networking Session Dumitru Roman, SINTEF AS, Norway George Konstantinidis, University of Southampton, UK Emanuel Sallinger, Vienna University of Technology, Austria Publicity Chairs Kai Sauerwald, FernUniversität in Hagen, Germany Tor-Morten Grønli, Kristiania University College, Norway Romuald Esdras Wandji, Umeå University, Sweeden

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15th ESAO webinar: Jerome Euzenat on Ontology evolution, March 20th 2025 15:00 UTC

by Cassia TROJAHN

Dear all, The Educational Series on Applied Ontology (ESAO) [1] is open for everyone and welcomes students, researchers and practitioners alike. The 15h ESAO webinar will be held on Thursday March 20th, 2025 at 16:00 CET. --------------------------- When and how to connect Thursday March 20th, 2025 15:00 UTC / 16:00 CET / 17:00 SAST (see more local times [2]) Duration: 60 minutes Video conference (via Zoom) :https://univ-tlse2.zoom.us/j/92895546685?pwd=DQD7Wzf3ZJw02LJ2hHmrVDwdN474PZ.1 --------------------------- Program 15:00 - 16:00 UTC / 16:00 - 17:00 CET / 17:00 - 18:00 SAST / 12:00 - 13:00 UTC-3 Jérôme Euzenat, INRIA & Univ. Grenoble Alpes, France Ontology evolution Abstract: Unless considering ontologies as transcendental and perfect, they need to evolve. This may be because the world they represent evolves or the purpose they fulfill requires it. In general, what triggers evolution is the inadequacy of an ontology. Restoring it may be carried out by human designers or automatic means, but it is worthwhile that they follow rules. In this short presentation, we will discuss two techniques that may help evolving ontologies: belief revision and artificial cultural evolution. How they are different and how they are alike. Best regards Cassia Trojahn, Frank Loebe, Laure Vieu On behalf of the IAOA Education Committee [1]https://wiki.iaoa.org/index.php/Edu:ESAO [2]https://www.timeanddate.com/worldclock/fixedtime.html?iso=20250320T1500

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New Link to the Submission Page of CONCEPTS 2025 (with the correct extended deadlines)

by Peggy Cellier

[with the correct extended deadlines] Dear Authors, Please note that the *new URL* of the *CONCEPTS 2025 submission page* is: https://equinocs.springernature.com/service/concepts2025 <https://equinocs.springernature.com/service/concepts2025> For more details, please have a look to the CFP below. Best regards, CONCEPTS chairs +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *2nd International Joint Conference on Conceptual Knowledge Structures (CONCEPTS 2025)* *Cluj-Napoca, România- September, 8th-12th, 2025* *_https://concepts2025.conference.ubbcluj.ro/ <https://concepts2025.conference.ubbcluj.ro/>_* 29th Intl. Conf. on Conceptual Structures (ICCS) 19th Intl. Conf. on Formal Concept Analysis (ICFCA) 18th Intl. Conf. on Concept Lattices and their Applications (CLA) CONCEPTS, the International Conference on Conceptual Knowledge Structures is a merger of the three conferences CLA, ICCS, and ICFCA, which have been essential venues for researchers and practitioners working on theoretical and applied aspects of formal concept analysis and representation of conceptual knowledge, as well as closely related areas, such as data mining, information retrieval, knowledge management, and discovery. CONCEPTS 2025, the second conference in this new series, aims to continue the tradition and standards of previous conferences and to become a key annual meeting for all members of the three communities, CLA, ICCS, and ICFCA, to keep abreast of the advances and new challenges in the field. Main topics include but are not limited to: * Fundamental aspects of Formal Concept Analysis (e.g., FCA theory, concept lattices, algorithms and computational complexity) * Conceptual graphs, graph-based models for human reasoning * Knowledge spaces and learning spaces * Fuzzy, relational, and/or triadic conceptual structures * Conceptual knowledge acquisition, management, exploration, analysis, and/or visualization * Probabilistic or approximative approaches to conceptual knowledge * Bridging conceptual structures to information sciences, artificial intelligence, data mining, machine learning, information retrieval, database theory, software engineering, and other areas of computer science * Ontologies, semantic web, knowledge graphs, and their relation to conceptual knowledge structures such as concept lattices and conceptual graphs. * Conceptual structures in natural language processing and linguistics * Understanding real-world data and modeling real-world phenomena with conceptual structures (e.g., applications in digital humanities, cybersecurity, biology, medicine, social network analysis) * Psychology, philosophy, and conceptual structures. ** *Submission details:* Submissions are invited on significant, original (previously unpublished) research on the topics of the conference: * Journal-track papers up to 26 pages, to be published in a special issue of the_<https://www.sciencedirect.com/journal/international-journal-of-approximate-…>__International Journal of Approximate Reasoning (IJAR) <https://www.sciencedirect.com/journal/international-journal-of-approximate-…>_; * Regular papers up to 16 pages and short papers up to 8 pages are to be published by Springer in the LNAI series as a proceedings volume. All submissions will be subject to single-blind peer review. Accepted papers have to be presented at the conference on-site. Therefore, at least one author per paper has to register timely and attend the conference on-site. *Important dates and submission instructions:* /***Journal-track submissions***/ - Full paper submission: *March 23, 2025 (AoE)* - Paper reviews sent to authors: *May 9, 2025* - Revised submission: *June 9, 2025* - Notification of acceptance: *July 6, 2025* ** Manuscripts must be submitted via the /International Journal of Approximate Reasoning/ online submission system (Editorial Manager®): _https://www.editorialmanager.com/ija/default2.aspx <https://www.editorialmanager.com/ija/default2.aspx>_ Please select the article type “*VSI: CONCEPTS 2025*” when submitting your manuscript online. /***Regular and short papers***/ - Abstract submission: *March 24, 2025 (AoE)* - Full paper submission: *March 31, 2025 (AoE)* - Notification of acceptance: *May 21, 2025* - Camera-ready papers due: *June 5, 2025* Submission link:_<https://equinocs.springernature.com/home>_https://equinocs.springernature.com/service/concepts2025 <https://equinocs.springernature.com/service/concepts2025> Please select the appropriate category for your submitted manuscript, “regular paper” or “short paper.” Please visit the page_<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>__Information for authors <https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>_ on Springer's website for templates and formatting style. *Organization:* _General and Conference Chair:_ Christian Săcărea, Babeș-Bolyai University, Romania _Program Chairs:_ Peggy Cellier, IRISA/INSA Rennes, France Bernhard Ganter, TU Dresden, Germany Rokia Missaoui, Université du Québec en Outaouais, Canada _Local organizer Committee:_ Christian Săcărea, Babeș-Bolyai University, Cluj-Napoca, România Diana Cristea, Babeș-Bolyai University, Cluj-Napoca, Diana Șotropa, Babeș-Bolyai University, Cluj-Napoca _Executive Board:_ Jaume Baixeries, Polytechnic University of Catalonia, Spain Radim Belohlavek, Palacký University Olomouc, Czech Republic Tanya Braun, University of Münster, Germany Madalina Croitoru, University of Montpellier, France Sébastien Ferré, University of Rennes, France Sergei Kuznetsov, HSE University, Moscow, Russia Rokia Missaoui, Université du Québec en Outaouais, Canada Amedeo Napoli, LORIA, Nancy, France Sergei Obiedkov, TU Dresden, Germany Manuel Ojeda-Aciego, University of Malaga, Spain Uta Priss, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany Gerd Stumme, University of Kassel, Germany _Program Committee:_ Jaume Baixeries, Polytechnic University of Catalonia, Spain Alexandre Bazin, LIRMM, Montpellier, France Mike Behrisch, Technische Universität Wien, Austria Sadok Ben Yahia, Technology University of Tallinn, Estonia Karell Bertet, La Rochelle University, France Inma P. Cabrera, Universidad de Málaga, Spain Peggy Cellier, IRISA/INSA Rennes, France Maria Eugenia Cornejo Piñero, University of Cádiz, Spain Christophe Demko, La Rochelle University, France Xavier Dolques, Université de Strasbourg, France Dominik Dürrschnabel, Universität Kassel, Germany Sébastien Ferré, IRISA université de Rennes, France Bernhard Ganter, TU Dresden, Germany Alain Gely, université de Lorraine, France Tom Hanika, University of Hildesheim, Germany Tobias Hille, University of Kassel Germany Marianne Huchard, LIRMM, Univ. Montpellier, France Mohamed Hamza Ibrahim, University of Quebec in Outaouais, Canada Dmitry Ignatov, HSE University, Moscow, Russia Mehdi Kaytoue, Infologic R&D, France Blaise Blériot Koguep Njionou, Université de Dschang, Cameroun Francesco Kriegel, TU Dresden, Germany Sergei Kuznetsov, HSE University, Moscow, Russia Leonard Kwuida, Bern University of Applied Sciences, Switzerland Florence Le Ber, Université de Strasbourg, France Pierre Martin, University of Montpellier, France Jesús Medina, University of Cádiz, Spain Rokia Missaoui, University of Quebec in Outaouais, Canada Amedeo Napoli, LORIA, Université de Lorraine, France Sergei Obiedkov, TU Dresden, Germany Manuel Ojeda-Aciego, Universidad de Málaga, Spain Jan Outrata, Palacký University Olomouc, Czech Republic Tim Pattison, Defence Science and Technology Group, Australia Carmen Peláez-Moreno, Univ. Carlos III de Madrid, Spain Uta Priss, Ostfalia Hochschule of Applied Sciences, Wolfenbüttel, Germany Sandor Radeleczki, University of Miskolc, Hungary Eloísa Ramírez Poussa, Universidad de Cádiz, Spain Sebastian Rudolph, TU Dresden, Germany Baris Sertkaya, Frankfurt University of Applied Sciences, Germany Henry Soldano, Université Paris 13, France Petko Valtchev, Université du Québec à Montréal, Canada Gerd Stumme, University of Kassel, Germany Martin Trnecka, Palacký University Olomouc, Czech Republic Francisco José Valverde-Albacete, Univ. Rey Juan Carlos, Madrid, Spain We look forward to meeting you in Cluj-Napoca. Please, feel free to contact us for any further information. Sincerely yours, Peggy Cellier, Bernhard Ganter, and Rokia Missaoui *CONCEPTS 2025 Program chairs* Email contact address: concepts25(a)lists.cs.uni-kassel.de

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New Link to the Submission Page of CONCEPTS 2025

by Peggy Cellier

Dear Authors, Please note that the *new URL* of the *CONCEPTS 2025 submission page* is: https://equinocs.springernature.com/service/concepts2025 <https://equinocs.springernature.com/service/concepts2025> For more details, please have a look to the CFP below. Best regards, CONCEPTS chairs +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *2nd International Joint Conference on Conceptual Knowledge Structures (CONCEPTS 2025)* *Cluj-Napoca, România- September, 8th-12th, 2025* *_https://concepts2025.conference.ubbcluj.ro/ <https://concepts2025.conference.ubbcluj.ro/>_* 29th Intl. Conf. on Conceptual Structures (ICCS) 19th Intl. Conf. on Formal Concept Analysis (ICFCA) 18th Intl. Conf. on Concept Lattices and their Applications (CLA) CONCEPTS, the International Conference on Conceptual Knowledge Structures is a merger of the three conferences CLA, ICCS, and ICFCA, which have been essential venues for researchers and practitioners working on theoretical and applied aspects of formal concept analysis and representation of conceptual knowledge, as well as closely related areas, such as data mining, information retrieval, knowledge management, and discovery. CONCEPTS 2025, the second conference in this new series, aims to continue the tradition and standards of previous conferences and to become a key annual meeting for all members of the three communities, CLA, ICCS, and ICFCA, to keep abreast of the advances and new challenges in the field. Main topics include but are not limited to: * Fundamental aspects of Formal Concept Analysis (e.g., FCA theory, concept lattices, algorithms and computational complexity) * Conceptual graphs, graph-based models for human reasoning * Knowledge spaces and learning spaces * Fuzzy, relational, and/or triadic conceptual structures * Conceptual knowledge acquisition, management, exploration, analysis, and/or visualization * Probabilistic or approximative approaches to conceptual knowledge * Bridging conceptual structures to information sciences, artificial intelligence, data mining, machine learning, information retrieval, database theory, software engineering, and other areas of computer science * Ontologies, semantic web, knowledge graphs, and their relation to conceptual knowledge structures such as concept lattices and conceptual graphs. * Conceptual structures in natural language processing and linguistics * Understanding real-world data and modeling real-world phenomena with conceptual structures (e.g., applications in digital humanities, cybersecurity, biology, medicine, social network analysis) * Psychology, philosophy, and conceptual structures. ** *Submission details:* Submissions are invited on significant, original (previously unpublished) research on the topics of the conference: * Journal-track papers up to 26 pages, to be published in a special issue of the_<https://www.sciencedirect.com/journal/international-journal-of-approximate-…>__International Journal of Approximate Reasoning (IJAR) <https://www.sciencedirect.com/journal/international-journal-of-approximate-…>_; * Regular papers up to 16 pages and short papers up to 8 pages are to be published by Springer in the LNAI series as a proceedings volume. All submissions will be subject to single-blind peer review. Accepted papers have to be presented at the conference on-site. Therefore, at least one author per paper has to register timely and attend the conference on-site. *Important dates and submission instructions:* /***Journal-track submissions***/ - Full paper submission: *March 16, 2025 (AoE)* - Paper reviews sent to authors: *May 2nd, 2025* - Revised submission: *June 2, 2025* - Notification of acceptance: *June 29, 2025* ** Manuscripts must be submitted via the /International Journal of Approximate Reasoning/ online submission system (Editorial Manager®): _https://www.editorialmanager.com/ija/default2.aspx <https://www.editorialmanager.com/ija/default2.aspx>_ Please select the article type “*VSI: CONCEPTS 2025*” when submitting your manuscript online. /***Regular and short papers***/ - Abstract submission: *March 17, 2025 (AoE)* - Full paper submission: *March 24, 2025 (AoE)* - Notification of acceptance: *May 14, 2025* - Camera-ready papers due: *May 29, 2025* Submission link:_<https://equinocs.springernature.com/home>_https://equinocs.springernature.com/service/concepts2025 <https://equinocs.springernature.com/service/concepts2025> Please select the appropriate category for your submitted manuscript, “regular paper” or “short paper.” Please visit the page_<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>__Information for authors <https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>_ on Springer's website for templates and formatting style. *Organization:* _General and Conference Chair:_ Christian Săcărea, Babeș-Bolyai University, Romania _Program Chairs:_ Peggy Cellier, IRISA/INSA Rennes, France Bernhard Ganter, TU Dresden, Germany Rokia Missaoui, Université du Québec en Outaouais, Canada _Local organizer Committee:_ Christian Săcărea, Babeș-Bolyai University, Cluj-Napoca, România Diana Cristea, Babeș-Bolyai University, Cluj-Napoca, Diana Șotropa, Babeș-Bolyai University, Cluj-Napoca _Executive Board:_ Jaume Baixeries, Polytechnic University of Catalonia, Spain Radim Belohlavek, Palacký University Olomouc, Czech Republic Tanya Braun, University of Münster, Germany Madalina Croitoru, University of Montpellier, France Sébastien Ferré, University of Rennes, France Sergei Kuznetsov, HSE University, Moscow, Russia Rokia Missaoui, Université du Québec en Outaouais, Canada Amedeo Napoli, LORIA, Nancy, France Sergei Obiedkov, TU Dresden, Germany Manuel Ojeda-Aciego, University of Malaga, Spain Uta Priss, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany Gerd Stumme, University of Kassel, Germany _Program Committee:_ Jaume Baixeries, Polytechnic University of Catalonia, Spain Alexandre Bazin, LIRMM, Montpellier, France Mike Behrisch, Technische Universität Wien, Austria Sadok Ben Yahia, Technology University of Tallinn, Estonia Karell Bertet, La Rochelle University, France Inma P. Cabrera, Universidad de Málaga, Spain Peggy Cellier, IRISA/INSA Rennes, France Maria Eugenia Cornejo Piñero, University of Cádiz, Spain Christophe Demko, La Rochelle University, France Xavier Dolques, Université de Strasbourg, France Dominik Dürrschnabel, Universität Kassel, Germany Sébastien Ferré, IRISA université de Rennes, France Bernhard Ganter, TU Dresden, Germany Alain Gely, université de Lorraine, France Tom Hanika, University of Hildesheim, Germany Tobias Hille, University of Kassel Germany Marianne Huchard, LIRMM, Univ. Montpellier, France Mohamed Hamza Ibrahim, University of Quebec in Outaouais, Canada Dmitry Ignatov, HSE University, Moscow, Russia Mehdi Kaytoue, Infologic R&D, France Blaise Blériot Koguep Njionou, Université de Dschang, Cameroun Francesco Kriegel, TU Dresden, Germany Sergei Kuznetsov, HSE University, Moscow, Russia Leonard Kwuida, Bern University of Applied Sciences, Switzerland Florence Le Ber, Université de Strasbourg, France Pierre Martin, University of Montpellier, France Jesús Medina, University of Cádiz, Spain Rokia Missaoui, University of Quebec in Outaouais, Canada Amedeo Napoli, LORIA, Université de Lorraine, France Sergei Obiedkov, TU Dresden, Germany Manuel Ojeda-Aciego, Universidad de Málaga, Spain Jan Outrata, Palacký University Olomouc, Czech Republic Tim Pattison, Defence Science and Technology Group, Australia Carmen Peláez-Moreno, Univ. Carlos III de Madrid, Spain Uta Priss, Ostfalia Hochschule of Applied Sciences, Wolfenbüttel, Germany Sandor Radeleczki, University of Miskolc, Hungary Eloísa Ramírez Poussa, Universidad de Cádiz, Spain Sebastian Rudolph, TU Dresden, Germany Baris Sertkaya, Frankfurt University of Applied Sciences, Germany Henry Soldano, Université Paris 13, France Petko Valtchev, Université du Québec à Montréal, Canada Gerd Stumme, University of Kassel, Germany Martin Trnecka, Palacký University Olomouc, Czech Republic Francisco José Valverde-Albacete, Univ. Rey Juan Carlos, Madrid, Spain We look forward to meeting you in Cluj-Napoca. Please, feel free to contact us for any further information. Sincerely yours, Peggy Cellier, Bernhard Ganter, and Rokia Missaoui *CONCEPTS 2025 Program chairs* Email contact address: concepts25(a)lists.cs.uni-kassel.de

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[CONCEPTS25] Call for Papers - CONCEPTS 2025 (extended deadlines)

by Peggy Cellier

Dear All, Please consider submitting your work to the CONCEPTS conference or the Special Issue of the International Journal of Approximate Reasoning. More details are given below. The PC Chairs of CONCEPTS 2025 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *2nd International Joint Conference on Conceptual Knowledge Structures (CONCEPTS 2025)* *Cluj-Napoca, România- September, 8th-12th, 2025* *_https://concepts2025.conference.ubbcluj.ro/ <https://concepts2025.conference.ubbcluj.ro/>_* 29th Intl. Conf. on Conceptual Structures (ICCS) 19th Intl. Conf. on Formal Concept Analysis (ICFCA) 18th Intl. Conf. on Concept Lattices and their Applications (CLA) CONCEPTS, the International Conference on Conceptual Knowledge Structures is a merger of the three conferences CLA, ICCS, and ICFCA, which have been essential venues for researchers and practitioners working on theoretical and applied aspects of formal concept analysis and representation of conceptual knowledge, as well as closely related areas, such as data mining, information retrieval, knowledge management, and discovery. CONCEPTS 2025, the second conference in this new series, aims to continue the tradition and standards of previous conferences and to become a key annual meeting for all members of the three communities, CLA, ICCS, and ICFCA, to keep abreast of the advances and new challenges in the field. Main topics include but are not limited to: * Fundamental aspects of Formal Concept Analysis (e.g., FCA theory, concept lattices, algorithms and computational complexity) * Conceptual graphs, graph-based models for human reasoning * Knowledge spaces and learning spaces * Fuzzy, relational, and/or triadic conceptual structures * Conceptual knowledge acquisition, management, exploration, analysis, and/or visualization * Probabilistic or approximative approaches to conceptual knowledge * Bridging conceptual structures to information sciences, artificial intelligence, data mining, machine learning, information retrieval, database theory, software engineering, and other areas of computer science * Ontologies, semantic web, knowledge graphs, and their relation to conceptual knowledge structures such as concept lattices and conceptual graphs. * Conceptual structures in natural language processing and linguistics * Understanding real-world data and modeling real-world phenomena with conceptual structures (e.g., applications in digital humanities, cybersecurity, biology, medicine, social network analysis) * Psychology, philosophy, and conceptual structures. ** *Submission details:* Submissions are invited on significant, original (previously unpublished) research on the topics of the conference: * Journal-track papers up to 26 pages, to be published in a special issue of the_<https://www.sciencedirect.com/journal/international-journal-of-approximate-…>__International Journal of Approximate Reasoning (IJAR) <https://www.sciencedirect.com/journal/international-journal-of-approximate-…>_; * Regular papers up to 16 pages and short papers up to 8 pages are to be published by Springer in the LNAI series as a proceedings volume. All submissions will be subject to single-blind peer review. Accepted papers have to be presented at the conference on-site. Therefore, at least one author per paper has to register timely and attend the conference on-site. *Important dates and submission instructions:* /***Journal-track submissions***/ - Full paper submission: *March 23, 2025 (AoE)* - Paper reviews sent to authors: *May 9, 2025* - Revised submission: *June 9, 2025* - Notification of acceptance: *July 6, 2025* ** Manuscripts must be submitted via the /International Journal of Approximate Reasoning/ online submission system (Editorial Manager®): _https://www.editorialmanager.com/ija/default2.aspx <https://www.editorialmanager.com/ija/default2.aspx>_ Please select the article type “*VSI: CONCEPTS 2025*” when submitting your manuscript online. /***Regular and short papers***/ - Abstract submission: *March 24, 2025 (AoE)* - Full paper submission: *March 31, 2025 (AoE)* - Notification of acceptance: *May 21, 2025* - Camera-ready papers due: *June 5, 2025* Submission link:_<https://equinocs.springernature.com/home>__https://equinocs.springernature.com/home <https://equinocs.springernature.com/home>_ Please select the appropriate category for your submitted manuscript, “regular paper” or “short paper.” Please visit the page_<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>__Information for authors <https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>_ on Springer's website for templates and formatting style. *Organization:* _General and Conference Chair:_ Christian Săcărea, Babeș-Bolyai University, Romania _Program Chairs:_ Peggy Cellier, IRISA/INSA Rennes, France Bernhard Ganter, TU Dresden, Germany Rokia Missaoui, Université du Québec en Outaouais, Canada _Local organizer Committee:_ Christian Săcărea, Babeș-Bolyai University, Cluj-Napoca, România Diana Cristea, Babeș-Bolyai University, Cluj-Napoca, Diana Șotropa, Babeș-Bolyai University, Cluj-Napoca _Executive Board:_ Jaume Baixeries, Polytechnic University of Catalonia, Spain Radim Belohlavek, Palacký University Olomouc, Czech Republic Tanya Braun, University of Münster, Germany Madalina Croitoru, University of Montpellier, France Sébastien Ferré, University of Rennes, France Sergei Kuznetsov, HSE University, Moscow, Russia Rokia Missaoui, Université du Québec en Outaouais, Canada Amedeo Napoli, LORIA, Nancy, France Sergei Obiedkov, TU Dresden, Germany Manuel Ojeda-Aciego, University of Malaga, Spain Uta Priss, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany Gerd Stumme, University of Kassel, Germany _Program Committee:_ Jaume Baixeries, Polytechnic University of Catalonia, Spain Alexandre Bazin, LIRMM, Montpellier, France Mike Behrisch, Technische Universität Wien, Austria Sadok Ben Yahia, Technology University of Tallinn, Estonia Karell Bertet, La Rochelle University, France Inma P. Cabrera, Universidad de Málaga, Spain Peggy Cellier, IRISA/INSA Rennes, France Maria Eugenia Cornejo Piñero, University of Cádiz, Spain Christophe Demko, La Rochelle University, France Xavier Dolques, Université de Strasbourg, France Dominik Dürrschnabel, Universität Kassel, Germany Sébastien Ferré, IRISA université de Rennes, France Bernhard Ganter, TU Dresden, Germany Alain Gely, université de Lorraine, France Tom Hanika, University of Hildesheim, Germany Tobias Hille, University of Kassel Germany Marianne Huchard, LIRMM, Univ. Montpellier, France Mohamed Hamza Ibrahim, University of Quebec in Outaouais, Canada Dmitry Ignatov, HSE University, Moscow, Russia Mehdi Kaytoue, Infologic R&D, France Blaise Blériot Koguep Njionou, Université de Dschang, Cameroun Francesco Kriegel, TU Dresden, Germany Sergei Kuznetsov, HSE University, Moscow, Russia Leonard Kwuida, Bern University of Applied Sciences, Switzerland Florence Le Ber, Université de Strasbourg, France Pierre Martin, University of Montpellier, France Jesús Medina, University of Cádiz, Spain Rokia Missaoui, University of Quebec in Outaouais, Canada Amedeo Napoli, LORIA, Université de Lorraine, France Sergei Obiedkov, TU Dresden, Germany Manuel Ojeda-Aciego, Universidad de Málaga, Spain Jan Outrata, Palacký University Olomouc, Czech Republic Tim Pattison, Defence Science and Technology Group, Australia Carmen Peláez-Moreno, Univ. Carlos III de Madrid, Spain Uta Priss, Ostfalia Hochschule of Applied Sciences, Wolfenbüttel, Germany Sandor Radeleczki, University of Miskolc, Hungary Eloísa Ramírez Poussa, Universidad de Cádiz, Spain Sebastian Rudolph, TU Dresden, Germany Baris Sertkaya, Frankfurt University of Applied Sciences, Germany Henry Soldano, Université Paris 13, France Petko Valtchev, Université du Québec à Montréal, Canada Gerd Stumme, University of Kassel, Germany Martin Trnecka, Palacký University Olomouc, Czech Republic Francisco José Valverde-Albacete, Univ. Rey Juan Carlos, Madrid, Spain We look forward to meeting you in Cluj-Napoca. Please, feel free to contact us for any further information. Sincerely yours, Peggy Cellier, Bernhard Ganter, and Rokia Missaoui *CONCEPTS 2025 Program chairs* Email contact address: concepts25(a)lists.cs.uni-kassel.de

1 month, 2 weeks

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XVII Madrid UPM Machine Learning and Advanced Statistics Summer School (June 16th - June 27th, 2025) - Early registration reminder

by mlas＠fi.upm.es

Dear colleagues, We would like to remind you that early registration for the Madrid UPM Machine Learning and Advanced Statistics summer school is open until May, 27th (included). The summer school will be held in Boadilla del Monte, near Madrid, from June 16th to June 27th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: https://www.dia.fi.upm.es/MLAS There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whomever you think may find it interesting. Best regards, Pedro Larrañaga, Concha Bielza, Bojan Mihaljević and Laura Gonzalez Veiga. -- School coordinators. *** List of courses and brief description *** # Week 1 (June 16th - June 20th, 2025) ## 1st session: 9:45-12:45 ### Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: R. ### Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. ## 2nd session: 13:45-16:45 ### Course 3: Supervised Classification (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: python. ### Course 4: Reinforcement learning (15 h) Introduction. Dynamic programming methods. Temporal-difference learning. Policy gradient methods. Causal reinforcement learning. Practical demonstration: R. ## 3rd session: 17:00 - 20:00 ### Course 5: Deep Learning (15 h) Introduction. Learning algorithms. Learning in deep networks. Deep Learning for Computer Vision. Deep Learning for Language. Practical session: Python notebooks with Google Colab with keras, Pytorch and Hugging Face Transformers. ### Course 6: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. # Week 2 (June 23rd - June 27th, 2025) ## 1st session: 9:45-12:45 ### Course 7: Causality (15 h) Introduction. Causal graphs. Mediation analysis. Sensitivity analysis to unmeasured confounding. Counterfactual reasoning. Practical sessions: R. ### Course 8: Clustering (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advice. Practical session: R. ## 2nd session: 13:45-16:45 ### Course 9: Gaussian Processes and Bayesian Optimization (15 h) Introduction to Gaussian processes. Sparse Gaussian processes. Deep Gaussian processes. Introduction to Bayesian optimization. Bayesian optimization in complex scenarios. Practical demonstration: python using GPytorch and BOTorch. ### Course 10: Explainable Machine Learning (15 h) Introduction. Inherently interpretable models. Post-hoc interpretation of black box models. Basics of causal inference. Beyond tabular and i.i.d. data. Other topics. Practical demonstration: Python with Google Colab. ## 3rd session: 17:00-20:00 ### Course 11: Generative AI (15 h) Introduction to the course. Neural networks and deep learning. Generative AI for images. Generative AI for language. Hands-on session: Pytorch, VAEs, GANs, diffusion models, LLMs, aligning a generative LLM, using an open-source image generation model. ### Course 12: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Hands-on sessions: R and python.

1 month, 2 weeks

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Third Call for Papers - CONCEPTS 2025

by Missaoui, Rokia

Dear All, Please consider submitting your work to the CONCEPTS conference or the Special Issue of the International Journal of Approximate Reasoning. More details are given below. The PC Chairs of CONCEPTS 2025 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 2nd International Joint Conference on Conceptual Knowledge Structures (CONCEPTS 2025) Cluj-Napoca, România- September, 8th-12th, 2025 https://concepts2025.conference.ubbcluj.ro/ 29th Intl. Conf. on Conceptual Structures (ICCS) 19th Intl. Conf. on Formal Concept Analysis (ICFCA) 18th Intl. Conf. on Concept Lattices and their Applications (CLA) CONCEPTS, the International Conference on Conceptual Knowledge Structures is a merger of the three conferences CLA, ICCS, and ICFCA, which have been essential venues for researchers and practitioners working on theoretical and applied aspects of formal concept analysis and representation of conceptual knowledge, as well as closely related areas, such as data mining, information retrieval, knowledge management, and discovery. CONCEPTS 2025, the second conference in this new series, aims to continue the tradition and standards of previous conferences and to become a key annual meeting for all members of the three communities, CLA, ICCS, and ICFCA, to keep abreast of the advances and new challenges in the field. Main topics include but are not limited to: * Fundamental aspects of Formal Concept Analysis (e.g., FCA theory, concept lattices, algorithms and computational complexity) * Conceptual graphs, graph-based models for human reasoning * Knowledge spaces and learning spaces * Fuzzy, relational, and/or triadic conceptual structures * Conceptual knowledge acquisition, management, exploration, analysis, and/or visualization * Probabilistic or approximative approaches to conceptual knowledge * Bridging conceptual structures to information sciences, artificial intelligence, data mining, machine learning, information retrieval, database theory, software engineering, and other areas of computer science * Ontologies, semantic web, knowledge graphs, and their relation to conceptual knowledge structures such as concept lattices and conceptual graphs. * Conceptual structures in natural language processing and linguistics * Understanding real-world data and modeling real-world phenomena with conceptual structures (e.g., applications in digital humanities, cybersecurity, biology, medicine, social network analysis) * Psychology, philosophy, and conceptual structures. Submission details: Submissions are invited on significant, original (previously unpublished) research on the topics of the conference: * Journal-track papers up to 26 pages, to be published in a special issue of the <https://www.sciencedirect.com/journal/international-journal-of-approximate-…> International Journal of Approximate Reasoning (IJAR)<https://www.sciencedirect.com/journal/international-journal-of-approximate-…>; * Regular papers up to 16 pages and short papers up to 8 pages are to be published by Springer in the LNAI series as a proceedings volume. All submissions will be subject to single-blind peer review. Accepted papers have to be presented at the conference on-site. Therefore, at least one author per paper has to register timely and attend the conference on-site. Important dates and submission instructions: ***Journal-track submissions*** - Full paper submission: March 16, 2025 (AoE) - Paper reviews sent to authors: May 2nd, 2025 - Revised submission: June 2, 2025 - Notification of acceptance: June 29, 2025 Manuscripts must be submitted via the International Journal of Approximate Reasoning online submission system (Editorial Manager®): https://www.editorialmanager.com/ija/default2.aspx Please select the article type “VSI: CONCEPTS 2025” when submitting your manuscript online. ***Regular and short papers*** - Abstract submission: March 17, 2025 (AoE) - Full paper submission: March 24, 2025 (AoE) - Notification of acceptance: May 14, 2025 - Camera-ready papers due: May 29, 2025 Submission link: <https://equinocs.springernature.com/home> https://equinocs.springernature.com/home Please select the appropriate category for your submitted manuscript, “regular paper” or “short paper.” Please visit the page <https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…> Information for authors<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…> on Springer's website for templates and formatting style. Organization: General and Conference Chair: Christian Săcărea, Babeș-Bolyai University, Romania Program Chairs: Peggy Cellier, IRISA/INSA Rennes, France Bernhard Ganter, TU Dresden, Germany Rokia Missaoui, Université du Québec en Outaouais, Canada Local organizer Committee: Christian Săcărea, Babeș-Bolyai University, Cluj-Napoca, România Diana Cristea, Babeș-Bolyai University, Cluj-Napoca, Diana Șotropa, Babeș-Bolyai University, Cluj-Napoca Executive Board: Jaume Baixeries, Polytechnic University of Catalonia, Spain Radim Belohlavek, Palacký University Olomouc, Czech Republic Tanya Braun, University of Münster, Germany Madalina Croitoru, University of Montpellier, France Sébastien Ferré, University of Rennes, France Sergei Kuznetsov, HSE University, Moscow, Russia Rokia Missaoui, Université du Québec en Outaouais, Canada Amedeo Napoli, LORIA, Nancy, France Sergei Obiedkov, TU Dresden, Germany Manuel Ojeda-Aciego, University of Malaga, Spain Uta Priss, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany Gerd Stumme, University of Kassel, Germany Program Committee: Jaume Baixeries, Polytechnic University of Catalonia, Spain Alexandre Bazin, LIRMM, Montpellier, France Mike Behrisch, Technische Universität Wien, Austria Sadok Ben Yahia, Technology University of Tallinn, Estonia Karell Bertet, La Rochelle University, France Inma P. Cabrera, Universidad de Málaga, Spain Peggy Cellier, IRISA/INSA Rennes, France Maria Eugenia Cornejo Piñero, University of Cádiz, Spain Christophe Demko, La Rochelle University, France Xavier Dolques, Université de Strasbourg, France Dominik Dürrschnabel, Universität Kassel, Germany Sébastien Ferré, IRISA université de Rennes, France Bernhard Ganter, TU Dresden, Germany Alain Gely, université de Lorraine, France Tom Hanika, University of Hildesheim, Germany Tobias Hille, University of Kassel Germany Marianne Huchard, LIRMM, Univ. Montpellier, France Mohamed Hamza Ibrahim, University of Quebec in Outaouais, Canada Dmitry Ignatov, HSE University, Moscow, Russia Mehdi Kaytoue, Infologic R&D, France Blaise Blériot Koguep Njionou, Université de Dschang, Cameroun Francesco Kriegel, TU Dresden, Germany Sergei Kuznetsov, HSE University, Moscow, Russia Leonard Kwuida, Bern University of Applied Sciences, Switzerland Florence Le Ber, Université de Strasbourg, France Pierre Martin, University of Montpellier, France Jesús Medina, University of Cádiz, Spain Rokia Missaoui, University of Quebec in Outaouais, Canada Amedeo Napoli, LORIA, Université de Lorraine, France Sergei Obiedkov, TU Dresden, Germany Manuel Ojeda-Aciego, Universidad de Málaga, Spain Jan Outrata, Palacký University Olomouc, Czech Republic Tim Pattison, Defence Science and Technology Group, Australia Carmen Peláez-Moreno, Univ. Carlos III de Madrid, Spain Uta Priss, Ostfalia Hochschule of Applied Sciences, Wolfenbüttel, Germany Sandor Radeleczki, University of Miskolc, Hungary Eloísa Ramírez Poussa, Universidad de Cádiz, Spain Sebastian Rudolph, TU Dresden, Germany Baris Sertkaya, Frankfurt University of Applied Sciences, Germany Henry Soldano, Université Paris 13, France Petko Valtchev, Université du Québec à Montréal, Canada Gerd Stumme, University of Kassel, Germany Martin Trnecka, Palacký University Olomouc, Czech Republic Francisco José Valverde-Albacete, Univ. Rey Juan Carlos, Madrid, Spain We look forward to meeting you in Cluj-Napoca. Please, feel free to contact us for any further information. Sincerely yours, Peggy Cellier, Bernhard Ganter, and Rokia Missaoui CONCEPTS 2025 Program chairs Email contact address: concepts25(a)lists.cs.uni-kassel.de

1 month, 3 weeks

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XVII Madrid UPM Machine Learning and Advanced Statistics Summer School (June 16th - June 27th, 2025)

by mlas＠fi.upm.es

Dear colleagues, The Technical University of Madrid (UPM) will once more organize the 'Madrid UPM Machine Learning and Advanced Statistics' summer school. The summer school will be held in Boadilla del Monte, near Madrid, from June 16th to June 27th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Early registration is now *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: https://www.dia.fi.upm.es/MLAS There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whomever you think may find it interesting. Best regards, Pedro Larrañaga, Concha Bielza, Bojan Mihaljević and Laura Gonzalez Veiga. -- School coordinators. *** List of courses and brief description *** # Week 1 (June 16th - June 20th, 2025) ## 1st session: 9:45-12:45 ### Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: R. ### Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. ## 2nd session: 13:45-16:45 ### Course 3: Supervised Classification (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: python. ### Course 4: Reinforcement learning (15 h) Introduction. Dynamic programming methods. Temporal-difference learning. Policy gradient methods. Causal reinforcement learning. Practical demonstration: R. ## 3rd session: 17:00 - 20:00 ### Course 5: Deep Learning (15 h) Introduction. Learning algorithms. Learning in deep networks. Deep Learning for Computer Vision. Deep Learning for Language. Practical session: Python notebooks with Google Colab with keras, Pytorch and Hugging Face Transformers. ### Course 6: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. # Week 2 (June 23rd - June 27th, 2025) ## 1st session: 9:45-12:45 ### Course 7: Causality (15 h) Introduction. Causal graphs. Mediation analysis. Sensitivity analysis to unmeasured confounding. Counterfactual reasoning. Practical sessions: R. ### Course 8: Clustering (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advice. Practical session: R. ## 2nd session: 13:45-16:45 ### Course 9: Gaussian Processes and Bayesian Optimization (15 h) Introduction to Gaussian processes. Sparse Gaussian processes. Deep Gaussian processes. Introduction to Bayesian optimization. Bayesian optimization in complex scenarios. Practical demonstration: python using GPytorch and BOTorch. ### Course 10: Explainable Machine Learning (15 h) Introduction. Inherently interpretable models. Post-hoc interpretation of black box models. Basics of causal inference. Beyond tabular and i.i.d. data. Other topics. Practical demonstration: Python with Google Colab. ## 3rd session: 17:00-20:00 ### Course 11: Generative AI (15 h) Introduction to the course. Neural networks and deep learning. Generative AI for images. Generative AI for language. Hands-on session: Pytorch, VAEs, GANs, diffusion models, LLMs, aligning a generative LLM, using an open-source image generation model. ### Course 12: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Hands-on sessions: R and python.

2 months

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[RW 2025] First Call for Participation: 21st Reasoning Web Summer School

by Kai Sauerwald

First Call for Participation: 21st Reasoning Web Summer School September 25-28, 2025, Istanbul, Turkey https://2025.declarativeai.net/events/reasoning-web Part of Declarative AI 2025, co-located with the RuleML+RR conference ************************************************************************************************************ We are happy to announce that the 21st edition of the Reasoning Web Summer School (RW 2025) will take place from September 25-28, 2025 in Istanbul, Turkey. RW 2025 is part of Declarative AI 2025, which also includes the 9th International Joint Conference on Rules and Reasoning (RuleML+RR) and DecisionCAMP 2025, both held from September 22-24, 2025. The purpose of the Reasoning Web Summer School is to disseminate recent advances in reasoning techniques and relevant topics related to ontologies, rules, logic, the semantic web, linked data, and knowledge graph applications. The summer school is primarily intended for individuals who are currently pursuing or have recently completed postgraduate degrees (PhD or MSc). However, the school also welcomes the participation of researchers at later career stages who wish to become acquainted with the area or deepen their understanding of recent developments. The RW school is a great venue for meeting like-minded researchers and exchanging with an engaging and approachable group of international lecturers! *** Summer School Program *** As in previous years, the summer school will feature 8 tutorials delivered by researchers who are experts in the area. Here are the confirmed speakers and topics for this year's school: Camille Bourgaux: Inconsistency-Tolerant Semantics Based on Preferred Repairs Esra Erdem, Aysu Bogatarkan, Muge Fidan: Human-Centered ASP Applications: Representation and Reasoning Patrick Koopmann: Explaining Reasoning Results for Description Logic Ontologies Markus Krötzsch: Modern Datalog: Concepts, Methods, Applications Antonella Poggi: From One-Level to Multi-Level Ontology-Based Data Access Francesco Ricca and Giuseppe Mazzotta: ASP Essentials: Modelling and Efficient Solving Luciano Serafini: Neuro-Symbolic Artificial Intelligence Przemyslaw Walega: Reasoning about Time in DatalogMTL Tutorial abstracts and speaker bios can be found on the RW 2025 website: https://2025.declarativeai.net/events/reasoning-web/program *** Applications & Registration *** To participate in RW 2025, you will need to submit a short application, with information on your academic and research background and motivation for attending the school. You can do so by filling out the following form: https://forms.gle/e9aDLTveQCXsBmwk9 or alternatively, by sending the organizers an email with all of the information requested on the form. Applications will be reviewed on a rolling basis, and notifications will be sent within 1-2 weeks from the time of application. Successful applicants will receive information on how to pay the registration fee to confirm their spot in the school. There is a discounted fee of 240€ (incl. VAT) for all applications received by May 31st. The regular fee of 300€ (incl. VAT) applies to all applications received on or after June 1st. The registration fee includes access to the lectures, lunches, and coffee breaks for the four days, as well as a social event. Note that students who participate in RW 2025 are also encouraged to apply to the Rule ML+RR Doctoral Consortium. Students attending both events will not need to pay the Doctoral Consortium fee. *** If you require additional information, please get in touch with the chairs. * Alessandro Artale, Free University of Bozen-Bolzano, Italy artale(a)inf.unibz.it * Meghyn Bienvenu, CNRS & University of Bordeaux, France meghyn.bienvenu(a)u-bordeaux.fr

2 months

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IJCRS 2025 Extension Deadline

by Stefania Boffa

Dear Colleagues, Let me inform you that the submission deadline to the *11th International Joint Conference on Rough Sets (IJCRS 2025)* has been extended (*February 28, 2025*). - IJCRS 2025 will support a *hybrid format*, allowing in-person and online participation. - Conference* website*: IJCRS 2025 <http://ijcrs2025.cqupt.edu.cn/#/home> Best wishes Stefania Boffa IJCRS 2025 Publicity Chair

2 months, 1 week

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CfP: FoIKS 2026: 14th International Symposium on Foundations of Information and Knowledge Systems: 23-26 March, 2026. Hannover, Germany

by Yasir mahmood

======================================= ** FoIKS 2026: First call for papers ** ======================================= The 14th International Symposium on Foundations of Information and Knowledge Systems (FoIKS'26) invites contributions from theoretical and applied research on information and knowledge systems. FoIKS 2026 (https://foiks2026.github.io/) will be held on 23rd-26th March 2026 in Hannover, Germany. =========== ** Scope ** =========== The suggested topics include, but are not limited to: Mathematical Foundations of Information and Knowledge Systems: Discrete structures and algorithms, graphs, and formal languages. Database Design and Management: Formal models, (in)dependencies and models of transactions, concurrency control. Logics in Databases and AI: Classical and non-classical logics, logic programming, description logics, spatial and temporal logics, argumentation, probability logic, fuzzy logic. Knowledge Representation and Reasoning: Logical reasoning, Non-monotonic reasoning (reasoning under inconsistency), Reasoning under vagueness or uncertainty. Foundations of neuro-symbolic reasoning: Embedding methods for structured information, such as knowledge graphs, mathematical expressions, grammars, logical theories. Intelligent Agents: Multi-agent systems, autonomous agents, formal models of interactions, Boolean games, coalition formation, reputation systems, epistemic reasoning. Knowledge Discovery and Information Retrieval: Machine learning, data mining, formal concept analysis and association rules, information extraction. Security in Information and Knowledge Systems: Identity theft, privacy, trust, intrusion detection, access control, inference control, secure Web services, secure Semantic Web, risk management. Integrity and Constraint Management: Verification, validation, consistent query answering, and information cleaning. Knowledge graphs and semi-structured Data: Data modelling, data processing, data compression, and data exchange. ========================== ** Submission Guidelines ** ========================== Papers must be typeset using the Springer LaTeX2e style llncs for Lecture Notes in Computer Science (for guidelines and templates, see: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…). Submissions that deviate substantially from these guidelines may be rejected without review. There are the following page limits according to paper type: Long papers: 16 plus additional pages for references. Short papers: 10 plus additional pages for references. Missing proofs or details can be added as an additional appendix of up to 15 pages article style and read at the discretion of the program committee. All papers must be original and not simultaneously submitted to another journal or conference. Initial submissions must be in PDF format, but authors should keep in mind that the LaTeX2e source must be submitted for the final versions of accepted papers. Submissions in alternate formats, such as Microsoft Word, cannot be accepted for either initial or final versions. The submissions will be judged for scientific quality and for suitability as a basis for broader discussion. Submission is via the EasyChair link https://easychair.org/conferences/?conf=foiks2026. All questions about submissions should be emailed to foiks2026(a)easychair.org. ================= ** Publication ** ================= The proceedings are planned to be published by Springer-Verlag in the Lecture Notes in Computer Science series. After the symposium, authors of selected papers will be invited to submit extended journal versions of their papers for a FoIKS 2026 special issue. ===================== ** Important dates ** ===================== Submission of abstracts: September 18, 2025 Submission of paper: September 25, 2025 Notification: December 20, 2025 Final version due: January 20, 2026 Conference: March 23-26, 2026 ====================== ** Invited Speakers ** ====================== TBD ================== ** Organization ** ================== * PC Chairs * Anni-Yasmin Turhan (University of Paderborn, Germany) Jonni Virtema (University of Sheffield, UK) * Local Chair * Arne Meier (Leibniz University Hannover, Germany)

2 months, 2 weeks

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[FOIS 2025] Call for Tutorials for the 15th International Conference on Formal Ontology in Information Systems, 08-12 September 2025 (Catania, Italy)

by Lucia Gomez Alvarez

=================== CALL FOR TUTORIALS =================== 15th International Conference on Formal Ontology in Information Systems 08-12 September 2025 (Catania, Italy) Website: https://www.dmi.unict.it/fois2025/ ================================ Submission deadline: 28 February 2025  Questions to: tutorials-fois2025(a)easychair.org ================================ The Tutorial Chairs for FOIS 2025 invite proposals for tutorials to be held on-site in conjunction with FOIS 2025, during the week of the main conference which will take place 08-12 September 2025 in Catania, Italy. FOIS 2025 seeks original and highly relevant proposals for tutorials to complement the conference program. The tutorial program will address the diverse interests of its audience: ontologies, formal ontology, and knowledge management and their application in information science or other areas. Moreover, tutorials can be an excellent opportunity to cover basic or advanced topics related to ontology research, ranging from cognitive science to knowledge representation, natural language processing, artificial intelligence, logic, philosophy, and linguistics as well as well-established or emerging research areas, techniques, methodologies and perspectives related to the ontology field. In 2025, we are looking for individuals and teams of presenters who would like to offer a tutorial specifically designed as a basic or an advanced description of a topic, or as a showcase of relevant techniques. We privilege diversity in the organizing team as well as the presence of young researchers and PhD students. Moreover, up to 1 instructor per tutorial can have their registration fees waived for the tutorials as well as for JOWO 2025, the Joint Ontology Workshops (https://www.dmi.unict.it/fois2025/?page_id=422) which are co-located with FOIS 2025. ====== Format ====== Tutorials are intended to be highly interactive, and educational, and should actively engage the audience to participate in the discussion. We accept short and long tutorials, which are expected to last 1h30 and 3h respectively. =================== Submission instructions =================== Proposals should be no more than 2 pages in length, and must contain the following information: - title; - names and affiliations of the presenters; - a brief CV of the presenters, including their experience in tutorial organization; Please indicate a primary contact person. - description of the topic (max 1 page); - brief description of the expected audience. Please give an estimate of the expected number of participants and their background and interests; if applicable, please relate this to participation in similar prior events; - 200-word abstract highlighting why the tutorial is attractive to FOIS 2025 participants – Why is it novel? What are key learning outcomes? Proposals should be submitted via EasyChair by 28 February 2025 as a single PDF file. A notification regarding your submission will be received on 14 March 2025. =============== Evaluation criteria =============== The decision on acceptance or rejection of tutorial proposals will be made on the basis of the overall quality of the proposal and its appeal to a reasonable fraction of the FOIS community. In particular, tutorials should satisfy each of the following criteria: - The research topic falls in the general scope of the conference. - There is a clear focus on a specific technology, problem or application. - There is an anticipation of a sufficiently large community interested in the topic. - There is a concrete plan for the tutorial format. - The presenters have reasonable experience in providing engaging lectures. - The material for the tutorial is made available to the FOIS 2025 community before the tutorial date. ============= Important dates ============= Submission deadline: 28 February 2025 Notification: 15 March 2025 Tutorials take place on-site in conjunction with FOIS 2025 in Catania, Italy (08-09 September 2025) ================ Terms and conditions ================ The presenters/instructors of accepted tutorials are expected to: - participate in the tutorial in person; - have an active role in the tutorial; - submit the material for attendees (slide sets, additional teaching material, software installation, question answering, and usage guides for practical hands-on sessions, e.g., Jupyter Notebooks.) to the Tutorial Chairs and make it available on the FOIS 2025 website at least one week prior to the date of the tutorial. ============ Tutorial chairs ============ Lucía Gómez Álvarez, University Grenoble Alpes, Inria, CNRS, Grenoble INPG, France Gilles Kassel, Jules Verne University of Picardie, France Please direct all further questions to tutorials-fois2025(a)easychair.org _________________________ | Lucía Gómez Álvarez INRIA & Univ. Grenoble Alpes, LIG, Grenoble, France | | lucia.gomez-alvarez at inria.fr https://moex.inria.fr<https://moex.inria.fr/> |

2 months, 3 weeks

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Second Call for Papers - 2nd International Joint Conference on Conceptual Knowledge Structures (CONCEPTS 2025)

by Peggy Cellier

*2nd International Joint Conference on Conceptual Knowledge Structures (CONCEPTS 2025)* *Cluj-Napoca, România- September, 8th-12th, 2025* *https://concepts2025.conference.ubbcluj.ro/ <https://concepts2025.conference.ubbcluj.ro/>* 29th Intl. Conf. on Conceptual Structures (ICCS) 19th Intl. Conf. on Formal Concept Analysis (ICFCA) 18th Intl. Conf. on Concept Lattices and their Applications (CLA) CONCEPTS, the International Conference on Conceptual Knowledge Structures is a merger of the three conferences CLA, ICCS, and ICFCA, which have been essential venues for researchers and practitioners working on theoretical and applied aspects of formal concept analysis and representation of conceptual knowledge, as well as closely related areas, such as data mining, information retrieval, knowledge management, and discovery. CONCEPTS 2025, the second conference in this new series, aims to continue the tradition and standards of previous conferences and to become a key annual meeting for all members of the three communities, CLA, ICCS, and ICFCA, to keep abreast of the advances and new challenges in the field. Main topics include but are not limited to: * Fundamental aspects of Formal Concept Analysis (e.g., FCA theory, concept lattices, algorithms and computational complexity) * Conceptual graphs, graph-based models for human reasoning * Knowledge spaces and learning spaces * Fuzzy, relational, and/or triadic conceptual structures * Conceptual knowledge acquisition, management, exploration, analysis, and/or visualization * Probabilistic or approximative approaches to conceptual knowledge * Bridging conceptual structures to information sciences, artificial intelligence, data mining, machine learning, information retrieval, database theory, software engineering, and other areas of computer science * Ontologies, semantic web, knowledge graphs, and their relation to conceptual knowledge structures such as concept lattices and conceptual graphs. * Conceptual structures in natural language processing and linguistics * Understanding real-world data and modeling real-world phenomena with conceptual structures (e.g., applications in digital humanities, cybersecurity, biology, medicine, social network analysis) * Psychology, philosophy, and conceptual structures. *Submission details:* Submissions are invited on significant, original (previously unpublished) research on the topics of the conference: * Journal-track papers up to 26 pages, to be published in a special issue of the<https://www.sciencedirect.com/journal/international-journal-of-approximate-…>International Journal of Approximate Reasoning (IJAR) <https://www.sciencedirect.com/journal/international-journal-of-approximate-…>; * Regular papers up to 16 pages and short papers up to 8 pages are to be published by Springer in the LNAI series as a proceedings volume. All submissions will be subject to single-blind peer review. Accepted papers have to be presented at the conference on-site. Therefore, at least one author per paper has to register timely and attend the conference on-site. *Important dates and submission instructions:* /***Journal-track submissions***/ - Full paper submission: *March 16, 2025 (AoE)* - Paper reviews sent to authors: *May 2nd, 2025* - Revised submission: *June 2, 2025* - Notification of acceptance: *June 29, 2025* Details about the submission system and the guidelines to authors will be provided shortly. /***Regular and short papers***/ - Abstract submission: *March 17, 2025 (AoE)* - Full paper submission: *March 24, 2025 (AoE)* - Notification of acceptance: *May 14, 2025* - Camera-ready papers due: *May 29, 2025* Submission link:<https://equinocs.springernature.com/home>https://equinocs.springernature.com/home <https://equinocs.springernature.com/home> Please select the appropriate category for your submitted manuscript, “regular paper” or “short paper.” Please visit the page<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>Information for authors <https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…> on Springer's website for templates and formatting style. *Organization:* _General and Conference Chair:_ Christian Săcărea, Babeș-Bolyai University, Romania _Program Chairs:_ Peggy Cellier, IRISA/INSA Rennes, France Bernhard Ganter, TU Dresden, Germany Rokia Missaoui, Université du Québec en Outaouais, Canada _Local organizer Committee:_ Christian Săcărea, Babeș-Bolyai University, Cluj-Napoca, România Diana Cristea, Babeș-Bolyai University, Cluj-Napoca, Diana Șotropa, Babeș-Bolyai University, Cluj-Napoca _Executive Board:_ Jaume Baixeries, Polytechnic University of Catalonia, Spain Radim Belohlavek, Palacký University Olomouc, Czech Republic Tanya Braun, University of Münster, Germany Madalina Croitoru, University of Montpellier, France Sébastien Ferré, University of Rennes, France Sergei Kuznetsov, HSE University, Moscow, Russia Rokia Missaoui, Université du Québec en Outaouais, Canada Amedeo Napoli, LORIA, Nancy, France Sergei Obiedkov, TU Dresden, Germany Manuel Ojeda-Aciego, University of Malaga, Spain Uta Priss, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany Gerd Stumme, University of Kassel, Germany _Program Committee:_ Jaume Baixeries, Polytechnic University of Catalonia, Spain Alexandre Bazin, LIRMM, Montpellier, France Mike Behrisch, Technische Universität Wien, Austria Sadok Ben Yahia, Technology University of Tallinn, Estonia Karell Bertet, La Rochelle University, France Inma P. Cabrera, Universidad de Málaga, Spain Peggy Cellier, IRISA/INSA Rennes, France Maria Eugenia Cornejo Piñero, University of Cádiz, Spain Christophe Demko, La Rochelle University, France Xavier Dolques, Université de Strasbourg, France Dominik Dürrschnabel, Universität Kassel, Germany Sébastien Ferré, IRISA université de Rennes, France Bernhard Ganter, TU Dresden, Germany Alain Gely, université de Lorraine, France Tom Hanika, University of Hildesheim, Germany Tobias Hille, University of Kassel Germany Marianne Huchard, LIRMM, Univ. Montpellier, France Mohamed Hamza Ibrahim, University of Quebec in Outaouais, Canada Dmitry Ignatov, HSE University, Moscow, Russia Mehdi Kaytoue, Infologic R&D, France Blaise Blériot Koguep Njionou, Université de Dschang, Cameroun Francesco Kriegel, TU Dresden, Germany Sergei Kuznetsov, HSE University, Moscow, Russia Leonard Kwuida, Bern University of Applied Sciences, Switzerland Florence Le Ber, Université de Strasbourg, France Pierre Martin, University of Montpellier, France Jesús Medina, University of Cádiz, Spain Rokia Missaoui, University of Quebec in Outaouais, Canada Amedeo Napoli, LORIA, Université de Lorraine, France Sergei Obiedkov, TU Dresden, Germany Manuel Ojeda-Aciego, Universidad de Málaga, Spain Jan Outrata, Palacký University Olomouc, Czech Republic Tim Pattison, Defence Science and Technology Group, Australia Carmen Peláez-Moreno, Univ. Carlos III de Madrid, Spain Uta Priss, Ostfalia Hochschule of Applied Sciences, Wolfenbüttel, Germany Sandor Radeleczki, University of Miskolc, Hungary Eloísa Ramírez Poussa, Universidad de Cádiz, Spain Sebastian Rudolph, TU Dresden, Germany Baris Sertkaya, Frankfurt University of Applied Sciences, Germany Henry Soldano, Université Paris 13, France Petko Valtchev, Université du Québec à Montréal, Canada Gerd Stumme, University of Kassel, Germany Martin Trnecka, Palacký University Olomouc, Czech Republic Francisco José Valverde-Albacete, Univ. Rey Juan Carlos, Madrid, Spain We look forward to meeting you in Cluj-Napoca. Please, feel free to contact us for any further information. Sincerely yours, Peggy Cellier, Bernhard Ganter, and Rokia Missaoui *CONCEPTS 2025 Program chairs* Email contact address: concepts25(a)lists.cs.uni-kassel.de

2 months, 4 weeks

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ESCIM2025 | Invitation to the special session "Recent trends in knowledge representation and modelling"

by manuojeda

[APOLOGIES FOR CROSS-POSTING] Dear colleagues,   We cordially invite you to participate in the special session "Recent trends in knowledge representation and modelling" that will be held in ESCIM 2025 in A Coruña (Spain). Further information about the conference can be found in http://escim2025.uca.es/.  This edition, the European Society of Fuzzy Logic and Technology (EUSFLAT) is supporting the event with two Student Grants, more information about these grants and the application process can be found at https://escim2025.uca.es/grants/. The deadline to apply for Student Grants is February 14th, 2025.  The Special Session is focused on theoretical and applied tools for representing and modelling information. In particular, our interest is in the direction of recent techniques for dealing with uncertainty. In this sense, Formal Conceptual Analysis, Logic Programming and Fuzzy Relation Equations, together with their fuzzy extensions, arise as reliable tools for dealing with knowledge obtained from databases that are uncertain in some way, such as incomplete, imprecise, ambiguous, graded. These are some of the highlighted topics of interest in the session, but contributions related to other fields are also welcome. Keywords and related topics: * Formal Concept Analysis * Logic Programming * Rough Set Theory Submission dates: * Submission of Keyworks/Abstracts (Extended): January 29th, 2025 * Notification of acceptance: February 14th, 2025 * Conference: May 18th-21st, 2025 Organizers:  * Roberto García-Aragón: roberto.aragon(a)uca.es  * David Lobo: david.lobo(a)uca.es * Manuel Ojeda-Hernández: manuojeda(a)uma.es  Best regards, Roberto, David and Manuel

3 months, 1 week

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[RuleML+RR 2025] Rule Challenge, Doctoral Consortium, Industry Track and Networking Session

by Kai Sauerwald

******************************************************************************* We wish you a happy new year and hope this call finds you well! ******************************************************************************* RuleML+RR 2025 Rule Challenge, Doctoral Consortium, Industry Track and Networking Session ******************************************************************************* *** RuleML+RR 2025 *** *** 22-24 September 2025 *** *** İstanbul, Türkİye *** Call for contributions for events associated with RuleML+RR 2025: Rule Challenge: https://2025.declarativeai.net/events/ruleml-rr/rule-challenge Doctoral Consortium: https://2025.declarativeai.net/events/ruleml-rr/doctoral-consortium Industry Track: https://2025.declarativeai.net/events/ruleml-rr/industry-track Networking Session: https://2025.declarativeai.net/events/ruleml-rr/networking-session RuleML+RR 2025 (https://2025.declarativeai.net/events/ruleml-rr) is part of Declarative AI 2025 (https://2025.declarativeai.net/) ******************************************************************************* *** RuleML+RR 2025 *** ********************** The International Joint Conference on Rules and Reasoning (RuleML+RR) is the leading international joint conference in the field of rule-based reasoning. As in the last years, RuleML+RR 2025 features the following associated events in addition to the main track: Rule Challenge, Doctoral Consortium, Industry Track, Project Networking Session Further below, you find more information on the respective events. All associated events share the same paper submission deadline: July 10th, 2025 (AoE) Submissions for each of these events are made via Easychair: https://easychair.org/conferences/?conf=rulemlrr2025 Please select the respective track when you make a submission. ******************************************************************************* *** Rule Challenge *** Chairs: Alessandro Margara, Politecnico di Milano, Italy Tomáš Kliegr, Prague University of Economics and Business, Czechia Ognjen Savkovic, Free University of Bozen-Bolzano, Italy ********************** The 19th International Rule Challenge is a standout feature of the RuleML+RR conference, fostering friendly competition among innovative rule-oriented tools, prototypes, and applications tailored to research, industry, and government. Participants are invited to showcase their solutions to self-defined challenges, but also propose open challenges for the community to tackle. Accordingly, submissions are welcome in two main categories: * [Challenge Proposals] Papers outlining open challenges, interesting problems from academia or industry, or benchmarks relevant to the community. Submissions should include task descriptions, datasets, and evaluation criteria, highlighting opportunities for rule-based approaches to provide solutions. * [Challenge Solutions] Papers presenting benchmarking or comparative analyses of rule engines, rule-based machine learning techniques, or case studies. Submissions may also cover industrial experiences, rule- and model-driven engineering, or innovative applications such as deployment of rule-based reasoning in geographically distributed, edge-to-cloud scenarios. Key themes of the Rule Challenge include, but are not limited to the following: * Rule-based machine learning tools and techniques * Large language models (LLMs) and rule learning * Rule-based approaches in artificial intelligence * Rule-based Complex Event Processing / Recognition (CEP/CER) * Stream reasoning * Business rules modelling * Rule standardization for research, industry and government * Graph-relational data and knowledge systems * Higher-order logic and modal logic systems * Rule and ontology combinations * Distributed rule systems Multi-agent systems * Ontology-Based Data Access (OBDA) systems * Answer Set Programming (ASP) systems * Constraint Logic Programming (CLP) systems * (Controlled) Natural language interfaces * Rules and model-driven engineering The challenge seeks high quality, original papers, potentially referencing online material, and ranging between 8-15 pages. Accepted papers will be published as part of CEUR proceedings and should be in the CEUR-WS.org style template CEURART (1-column variant). Please submit your paper via: https://easychair.org/conferences/?conf=rulemlrr2025 to the Rule Challenge track. Important Dates: * July 10th, 2025: Paper submission deadline * August 31st, 2025: Notification of acceptance Further information can be found on the Rule Challenge website: https://2025.declarativeai.net/events/ruleml-rr/rule-challenge ******************************************************************************* *** Doctoral Consortium *** Chairs: Shqiponja Ahmetaj, TU Wien, Austria Riccardo Tommasini, INSA Lyon, France *************************** The RuleML+RR 9th Doctoral Consortium 2025 (DC) is an initiative of the RuleML+RR community to attract and promote student research in Artificial Intelligence, especially research on rule-based formalisms and reasoning in such formalisms. It offers students a close contact with leading experts in the field, as well as the opportunity to present and discuss their ideas in a dynamic and friendly setting. We invite PhD students at an early or intermediate stage of their PhD studies, as well as exceptional master’s students who are interested in pursuing a PhD, to submit papers describing their research on any of the topics of RuleML+RR 2025. RuleML+RR DC papers range between 8 and 15 pages, are written in English, will be published as part of CEUR proceedings, and should follow the CEUR-WS.org style template CEURART (1-column variant). They are submitted electronically in PDF together with a maximum 2 page-long CV (the paper and the CV should be submitted together as one PDF file, but the CV is not counted within the 15 pages limit and is not published in the proceedings if the paper is accepted). The submission should cover the following aspects: * The identification of a significant problem in a research field relevant to RuleML+RR 2025. * An outline of the current knowledge in the problem’s domain, as well as an overview of existing solutions. * A clear formulation of the research question and motivation. * A presentation of (possibly preliminary) ideas, the proposed approach, and the results achieved so far. * A sketch of the applied research methodology and its positioning in the field. * A description of the student’s contribution to the research. * A discussion of how the suggested solution is different, new, or better as compared to the state of the art. * A research plan and the potential achievements. Please submit your paper via: https://easychair.org/conferences/?conf=rulemlrr2025 to the Doctoral Consortium track. Important Dates: * July 10th, 2025: Paper submission deadline * July 31st, 2025: Notification deadline Further information can be found on the Doctoral Consortium website: https://2025.declarativeai.net/events/ruleml-rr/doctoral-consortium ******************************************************************************* *** Industry Track *** Chairs: Luigi Bellomarini, Banca d’Italia, Italy Evgeny Kharlamov, Bosch Center for Artificial Intelligence, Germany Ioana Georgiana Ciuciu, Babeș-Bolyai University, Romania ********************** The RuleML+RR industry track welcomes papers describing original industrial advances and application achievements in all areas of Rules and Reasoning-based technologies. We are interested in experiences from practitioners when applying rules to industries such as engineering, manufacturing, finance, agriculture, energy, media, telecommunications, healthcare, life sciences, government, smart cities, tourism, cultural heritage, retail, logistics, transportation, education, entertainment, legal services, real estate, environmental management, cybersecurity, autonomous systems, aerospace, defense, and other emerging fields. Submissions are invited on all facets of Rules and Reasoning, including efforts to bridge recent research innovations with practical applications and industrial challenges, with a strong focus on the interplay between reasoning techniques and machine learning. We encourage submissions on the following topics: * Integration of Rules, Reasoning, and AI Technologies * Rules and Reasoning for Knowledge Graphs and Ontologies * Advanced Uses of Rules and Reasoning in Scalable Applications * Rules and Reasoning in Regulatory Technology (RegTech) * Responsible Use of AI and Rules Technologies We welcome extended abstracts of minimum 5 and maximum 6 pages (including the references) to be submitted to the Industry Track. Accepted papers will be published as part of CEUR proceedings and should be written in English following in the CEUR-WS.org style template CEURART (1-column variant). Reviews will be done by the committee of members from both industry and academia. Submitted papers must be original contributions written in English. Please submit your paper via: https://easychair.org/conferences/?conf=rulemlrr2025 to the Industry Track. Important Dates: * July 10th, 2025: Paper submission deadline * July 31st, 2025: Notification deadline Further information can be found on the Industry Track website: https://2025.declarativeai.net/events/ruleml-rr/industry-track ******************************************************************************* *** Networking Session *** Chairs: Dumitru Roman, SINTEF AS, Norway George Konstantinidis, University of Southampton, UK Emanuel Sallinger, TU Wien, Austria ************************** The project networking session of RuleML+RR 2025 aims to bring together relevant projects working in the area of data and AI with particular focus on, but not limited to, the event topics: rules, reasoning, decisions, and explanations. The session will provide an opportunity to: * Share knowledge between research and innovation projects operating in the area of data and AI. * Identify potential synergies between the projects, e.g., transfer data and AI technology between projects, joint publications, joint dissemination activities, etc. * Discuss funding opportunities such as Horizon Europe, Digital Europe, ERC, etc. The session targets research and innovation projects operating at all stages: * Ending (or recently ended) projects, which have results to transfer and/or dissemination of results; * Ongoing projects, seeking collaboration and networking opportunities with external stakeholders and external projects; * Upcoming projects/initiative, searching for potential new ideas and partners for consortia. Interested projects should submit abstracts of minimum 5 and maximum 6 pages (including the references), describing the project’s objective, possible information to be shared with other projects and potential interests in other projects. The papers will be included in the companion proceedings of the event published by CEUR and should be formatted in the CEUR-WS.org style template CEURART (1-column variant). Submitted papers must be original contributions written in English. Please submit your paper via: https://easychair.org/conferences/?conf=rulemlrr2025 to the Networking Session track. Important Dates: * July 10th, 2025: Paper submission deadline * July 31st, 2025: Notification deadline Further information can be found on the Project Networking Session website: https://2025.declarativeai.net/events/ruleml-rr/networking-session ******************************************************************************* ******************************************************************************* RuleML+RR 2025 (https://2025.declarativeai.net/events/ruleml-rr) and its associated events are part of Declarative AI 2025 (https://2025.declarativeai.net/). The following lists further chairs involved in making these events possible. General Chairs of Declarative AI 2025 Hasan Dağ, Kadir Has University, Türkiye Anni-Yasmin Turhan, Paderborn University, Germany Ahmet Soylu, Kristiania University of Applied Sciences, Norway Local Chair Mehmet Nafiz Aydin, Kadir Has University, Türkiye RuleML+RR Program Chairs Aidan Hogan, University of Chile, Chile Ken Satoh, National Institute of Informatics, Japan Proceedings Chairs Dumitru Roman, SINTEF AS, Norway Ahmet Soylu, Kristiania University College, Norway Publicity Chairs Kai Sauerwald, FernUniversität in Hagen, Germany Tor-Morten Grønli, Kristiania University College, Norway Romuald Esdras Wandji, Umeå University, Sweeden

3 months, 1 week

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[RuleML+RR 2025] Rule Challenge, Doctoral Consortium, Industry Track and Networking Session

by Kai Sauerwald

******************************************************************************* We wish you a happy new year and hope this call finds you well! ******************************************************************************* RuleML+RR 2025 Rule Challenge, Doctoral Consortium, Industry Track and Networking Session ******************************************************************************* *** RuleML+RR 2025 *** *** 22-24 September 2025 *** *** İstanbul, Türkİye *** Call for contributions for events associated with RuleML+RR 2025: Rule Challenge: https://2025.declarativeai.net/events/ruleml-rr/rule-challenge Doctoral Consortium: https://2025.declarativeai.net/events/ruleml-rr/doctoral-consortium Industry Track: https://2025.declarativeai.net/events/ruleml-rr/industry-track Networking Session: https://2025.declarativeai.net/events/ruleml-rr/networking-session RuleML+RR 2025 (https://2025.declarativeai.net/events/ruleml-rr) is part of Declarative AI 2025 (https://2025.declarativeai.net/) ******************************************************************************* *** RuleML+RR 2025 *** ********************** The International Joint Conference on Rules and Reasoning (RuleML+RR) is the leading international joint conference in the field of rule-based reasoning. As in the last years, RuleML+RR 2025 features the following associated events in addition to the main track: Rule Challenge, Doctoral Consortium, Industry Track, Project Networking Session Further below, you find more information on the respective events. All associated events share the same paper submission deadline: July 10th, 2025 (AoE) Submissions for each of these events are made via Easychair: https://easychair.org/conferences/?conf=rulemlrr2025 Please select the respective track when you make a submission. ******************************************************************************* *** Rule Challenge *** Chairs: Alessandro Margara, Politecnico di Milano, Italy Tomáš Kliegr, Prague University of Economics and Business, Czechia Ognjen Savkovic, Free University of Bozen-Bolzano, Italy ********************** The 19th International Rule Challenge is a standout feature of the RuleML+RR conference, fostering friendly competition among innovative rule-oriented tools, prototypes, and applications tailored to research, industry, and government. Participants are invited to showcase their solutions to self-defined challenges, but also propose open challenges for the community to tackle. Accordingly, submissions are welcome in two main categories: * [Challenge Proposals] Papers outlining open challenges, interesting problems from academia or industry, or benchmarks relevant to the community. Submissions should include task descriptions, datasets, and evaluation criteria, highlighting opportunities for rule-based approaches to provide solutions. * [Challenge Solutions] Papers presenting benchmarking or comparative analyses of rule engines, rule-based machine learning techniques, or case studies. Submissions may also cover industrial experiences, rule- and model-driven engineering, or innovative applications such as deployment of rule-based reasoning in geographically distributed, edge-to-cloud scenarios. Key themes of the Rule Challenge include, but are not limited to the following: * Rule-based machine learning tools and techniques * Large language models (LLMs) and rule learning * Rule-based approaches in artificial intelligence * Rule-based Complex Event Processing / Recognition (CEP/CER) * Stream reasoning * Business rules modelling * Rule standardization for research, industry and government * Graph-relational data and knowledge systems * Higher-order logic and modal logic systems * Rule and ontology combinations * Distributed rule systems Multi-agent systems * Ontology-Based Data Access (OBDA) systems * Answer Set Programming (ASP) systems * Constraint Logic Programming (CLP) systems * (Controlled) Natural language interfaces * Rules and model-driven engineering The challenge seeks high quality, original papers, potentially referencing online material, and ranging between 8-15 pages. Accepted papers will be published as part of CEUR proceedings and should be in the CEUR-WS.org style template CEURART (1-column variant). Please submit your paper via: https://easychair.org/conferences/?conf=rulemlrr2025 to the Rule Challenge track. Important Dates: * July 10th, 2025: Paper submission deadline * August 31st, 2025: Notification of acceptance Further information can be found on the Rule Challenge website: https://2025.declarativeai.net/events/ruleml-rr/rule-challenge ******************************************************************************* *** Doctoral Consortium *** Chairs: Shqiponja Ahmetaj, TU Wien, Austria Riccardo Tommasini, INSA Lyon, France *************************** The RuleML+RR 9th Doctoral Consortium 2025 (DC) is an initiative of the RuleML+RR community to attract and promote student research in Artificial Intelligence, especially research on rule-based formalisms and reasoning in such formalisms. It offers students a close contact with leading experts in the field, as well as the opportunity to present and discuss their ideas in a dynamic and friendly setting. We invite PhD students at an early or intermediate stage of their PhD studies, as well as exceptional master’s students who are interested in pursuing a PhD, to submit papers describing their research on any of the topics of RuleML+RR 2025. RuleML+RR DC papers range between 8 and 15 pages, are written in English, will be published as part of CEUR proceedings, and should follow the CEUR-WS.org style template CEURART (1-column variant). They are submitted electronically in PDF together with a maximum 2 page-long CV (the paper and the CV should be submitted together as one PDF file, but the CV is not counted within the 15 pages limit and is not published in the proceedings if the paper is accepted). The submission should cover the following aspects: * The identification of a significant problem in a research field relevant to RuleML+RR 2025. * An outline of the current knowledge in the problem’s domain, as well as an overview of existing solutions. * A clear formulation of the research question and motivation. * A presentation of (possibly preliminary) ideas, the proposed approach, and the results achieved so far. * A sketch of the applied research methodology and its positioning in the field. * A description of the student’s contribution to the research. * A discussion of how the suggested solution is different, new, or better as compared to the state of the art. * A research plan and the potential achievements. Please submit your paper via: https://easychair.org/conferences/?conf=rulemlrr2025 to the Doctoral Consortium track. Important Dates: * July 10th, 2025: Paper submission deadline * July 31st, 2025: Notification deadline Further information can be found on the Doctoral Consortium website: https://2025.declarativeai.net/events/ruleml-rr/doctoral-consortium ******************************************************************************* *** Industry Track *** Chairs: Luigi Bellomarini, Banca d’Italia, Italy Evgeny Kharlamov, Bosch Center for Artificial Intelligence, Germany Ioana Georgiana Ciuciu, Babeș-Bolyai University, Romania ********************** The RuleML+RR industry track welcomes papers describing original industrial advances and application achievements in all areas of Rules and Reasoning-based technologies. We are interested in experiences from practitioners when applying rules to industries such as engineering, manufacturing, finance, agriculture, energy, media, telecommunications, healthcare, life sciences, government, smart cities, tourism, cultural heritage, retail, logistics, transportation, education, entertainment, legal services, real estate, environmental management, cybersecurity, autonomous systems, aerospace, defense, and other emerging fields. Submissions are invited on all facets of Rules and Reasoning, including efforts to bridge recent research innovations with practical applications and industrial challenges, with a strong focus on the interplay between reasoning techniques and machine learning. We encourage submissions on the following topics: * Integration of Rules, Reasoning, and AI Technologies * Rules and Reasoning for Knowledge Graphs and Ontologies * Advanced Uses of Rules and Reasoning in Scalable Applications * Rules and Reasoning in Regulatory Technology (RegTech) * Responsible Use of AI and Rules Technologies We welcome extended abstracts of minimum 5 and maximum 6 pages (including the references) to be submitted to the Industry Track. Accepted papers will be published as part of CEUR proceedings and should be written in English following in the CEUR-WS.org style template CEURART (1-column variant). Reviews will be done by the committee of members from both industry and academia. Submitted papers must be original contributions written in English. Please submit your paper via: https://easychair.org/conferences/?conf=rulemlrr2025 to the Industry Track. Important Dates: * July 10th, 2025: Paper submission deadline * July 31st, 2025: Notification deadline Further information can be found on the Industry Track website: https://2025.declarativeai.net/events/ruleml-rr/industry-track ******************************************************************************* *** Networking Session *** Chairs: Dumitru Roman, SINTEF AS, Norway George Konstantinidis, University of Southampton, UK Emanuel Sallinger, TU Wien, Austria ************************** The project networking session of RuleML+RR 2025 aims to bring together relevant projects working in the area of data and AI with particular focus on, but not limited to, the event topics: rules, reasoning, decisions, and explanations. The session will provide an opportunity to: * Share knowledge between research and innovation projects operating in the area of data and AI. * Identify potential synergies between the projects, e.g., transfer data and AI technology between projects, joint publications, joint dissemination activities, etc. * Discuss funding opportunities such as Horizon Europe, Digital Europe, ERC, etc. The session targets research and innovation projects operating at all stages: * Ending (or recently ended) projects, which have results to transfer and/or dissemination of results; * Ongoing projects, seeking collaboration and networking opportunities with external stakeholders and external projects; * Upcoming projects/initiative, searching for potential new ideas and partners for consortia. Interested projects should submit abstracts of minimum 5 and maximum 6 pages (including the references), describing the project’s objective, possible information to be shared with other projects and potential interests in other projects. The papers will be included in the companion proceedings of the event published by CEUR and should be formatted in the CEUR-WS.org style template CEURART (1-column variant). Submitted papers must be original contributions written in English. Please submit your paper via: https://easychair.org/conferences/?conf=rulemlrr2025 to the Networking Session track. Important Dates: * July 10th, 2025: Paper submission deadline * July 31st, 2025: Notification deadline Further information can be found on the Project Networking Session website: https://2025.declarativeai.net/events/ruleml-rr/networking-session ******************************************************************************* ******************************************************************************* RuleML+RR 2025 (https://2025.declarativeai.net/events/ruleml-rr) and its associated events are part of Declarative AI 2025 (https://2025.declarativeai.net/). The following lists further chairs involved in making these events possible. General Chairs of Declarative AI 2025 Hasan Dağ, Kadir Has University, Türkiye Anni-Yasmin Turhan, Paderborn University, Germany Ahmet Soylu, Kristiania University of Applied Sciences, Norway Local Chair Mehmet Nafiz Aydin, Kadir Has University, Türkiye RuleML+RR Program Chairs Aidan Hogan, University of Chile, Chile Ken Satoh, National Institute of Informatics, Japan Proceedings Chairs Dumitru Roman, SINTEF AS, Norway Ahmet Soylu, Kristiania University College, Norway Publicity Chairs Kai Sauerwald, FernUniversität in Hagen, Germany Tor-Morten Grønli, Kristiania University College, Norway Romuald Esdras Wandji, Umeå University, Sweeden

3 months, 1 week

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2025 IAOA Fellowships - Call for Nominations by February 23, 2025

by Frank Loebe

[forwarded on behalf of Oliver Kutz] Dear ontology enthusiasts, the IAOA [1] has established an award of honorary fellowships [2] in order to recognize distinguished scholars in the field of applied ontology. IAOA Fellows will have contributed significantly and in a sustained manner to the field of applied ontology, for example by outstanding scientific achievements, which often goes hand-in-hand with their strong dedication and service to the community. Their selection is subject to an annual process based on nominations from the community. For 2025, we solicit nominations by February 23, 2025 (Sunday, UTC-12). Please send nominations to [3] info(a)iaoa.org, thereby consequentially reaching the selection committee. Complete details on the process are specified in the IAOA's Fellowship Procedure [4], an excerpt of which describing the nomination requirements is copied below. The 2025 selection committee consists of - Mara Abel, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil - Michael Gruninger, University of Toronto, Canada - Janna Hastings, University of St. Gallen, University of Zürich, Switzerland - Oliver Kutz, Free University of Bozen-Bolzano, Italy - Fabian Neuhaus, Otto von Guericke University Magdeburg, Germany We look forward to each of your nominations. Please observe the basic rules below carefully to make valid nominations. Many thanks in advance for all efforts! Happy New Year, and best regards, Oliver Kutz President, IAOA --- < excerpt from [4] > To nominate a person, a nominator sends a message to the committee that summarizes the main contributions of the nominee to applied ontology and argues why the nominee should be selected. The nomination should be seconded by at least one supporter. Among the nominator and the supporter(s), at least one should be an IAOA member. Self nominations are not allowed. A nominee cannot be part of the selection committee. If that happens, the nominee will be given the option to reject the nomination or withdraw from the selection committee. </ excerpt > --- [1] International Association for Ontology and its Applications (IAOA) https://iaoa.org/ [2] IAOA Fellowship (web page) https://iaoa.org/index.php/organization/fellows/ [3] IAOA contact mail address, to be used for nominations info(a)iaoa.org [4] IAOA Fellowship Procedure https://iaoa.org/wp-content/uploads/2023/12/IAOA-Fellow-Procedure.pdf

3 months, 2 weeks

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Call for Participation: CoLiE at ICDAR'25

by Hugo Sousa

Apologies for cross-posting Call for Participation: ICDAR 2025 Competition on Automatic Classification of Literary Epochs (CoLiE) We are pleased to announce the ICDAR 2025 Competition on Automatic Classification of Literary Epochs (CoLiE), which aims to push the boundaries of temporal text analysis by challenging participants to develop state-of-the-art methods for dating literary texts. The competition focuses on leveraging natural language processing (NLP) and information retrieval (IR) techniques to predict the time periods in which texts were written. Overview The CoLiE competition offers two main tasks to address temporal classification and the understanding of historical texts: Task 1: Literary Epochs Classification Competition Page: Task 1 <https://www.kaggle.com/competitions/icdar-2025-ColiE_Task1> This task focuses on classifying texts based on literary epochs and their subdivisions: Sub-task 1.1: Classification of texts into six major literary epochs: Classicism (1660-1798) Romanticism (1798-1837) Victorian Literature (1837-1901) Modernism (1900-1945) Postmodernism (1945-2000) Contemporary (from 2000) Sub-task 1.2: Classification of texts into epoch subdivisions: Early: First quarter of the epoch Middle: Middle half of the epoch Late: Final quarter of the epoch Note: Epoch lengths vary, with Classicism, Romanticism, Victorian Literature, Modernism, and Postmodernism divided into three periods, while Contemporary has only two periods. Task 2: ChronoText Classification Competition Page: Task 2 <https://www.kaggle.com/competitions/icdar-2025-ColiE_Task2> This task addresses temporal granularity: Sub-task 2.1: Identifying the century of origin for a given text. Sub-task 2.2: Pinpointing the specific decade within that century when the text was composed. Participation We invite researchers, practitioners, and enthusiasts from the IR and NLP communities to participate in this exciting competition. Important Dates December 17, 2024: Competition website live. Training and validation sets with labels available. April 1, 2025: Test dataset available. April 8, 2025: Competition deadline. May 1, 2025: Submission of competition reports. May 16, 2025: Camera-ready paper submission. June 30, 2025: Winners announced. September 17-21, 2025: Results presented at the ICDAR conference. How to Participate Visit our website: https://colie.pro/ Familiarize yourself with the tasks, rules, datasets, and evaluation metrics. Submit your results through the Kaggle platform. Contact For inquiries, contact the organizers at: colie2025.competition(a)gmail.com <mailto:colie2025.competition@gmail.com> Organizers Marina Litvak, SCE (marinal(a)ac.sce.ac.il <mailto:marinal@ac.sce.ac.il>) Irina Rabaev, SCE (irinar(a)ac.sce.ac.il <mailto:irinar@ac.sce.ac.il>) Ricardo Campos, University of Beira Interior, INESC TEC (ricardo.campos(a)ubi.pt <mailto:ricardo.campos@ubi.pt>) Alípio Jorge, University of Porto, INESC TEC (amjorge(a)fc.up.pt <mailto:amjorge@fc.up.pt>) Adam Jatowt, University of Innsbruck (adam.jatowt(a)uibk.ac.at <mailto:adam.jatowt@uibk.ac.at>) Roza Bass, SCE (rozzaba(a)ac.sce.ac.il <mailto:rozzaba@ac.sce.ac.il>) Hugo Sousa, University of Porto, INESC TEC (hugo.sousa(a)fc.up.pt <mailto:hugo.sousa@fc.up.pt>)

3 months, 2 weeks

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ESCIM2025 | Invitation to the special session "Recent trends in knowledge representation and modelling"

by Manuel Ojeda Hernandez

[APOLOGIES FOR CROSS-POSTING] Dear colleagues, We cordially invite you to participate in the special session "Recent trends in knowledge representation and modelling" that will be held in ESCIM 2025 in A Coruña (Spain). Futher information about the conference can be found in http://escim2025.uca.es/ <http://escim202.uca.es/>. The Special Session is focused on theoretical and applied tools for representing and modelling information. In particular, our interest is in the direction of recent techniques for dealing with uncertainty. In this sense, Formal Conceptual Analysis, Logic Programming and Fuzzy Relation Equations, together with their fuzzy extensions, arise as reliable tools for dealing with knowledge obtained from databases that are uncertain in some way, such as incomplete, imprecise, ambiguous, graded. These are some of the highlighted topics of interest in the session, but contributions related to other fields are also welcome. Keywords and related topics: - Formal Concept Analysis - Logic Programming - Rough Set Theory Organizers: * Roberto García-Aragón: roberto.aragon(a)uca.es <mailto:roberto.aragon@uca.es> * David Lobo: david.lobo(a)uca.es <mailto:david.lobo@uca.es> * Manuel Ojeda-Hernández: manuojeda <mailto:manuojeda@uma.es>@uma.e <mailto:manuojeda@uma.es>s <mailto:manuojeda@uma.es> Best regards, Roberto, David and Manuel

4 months, 1 week

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ERRATUM: ESAO Webinar n.14 on Tuesday December 17th, 2024 16:00 CET –- Call for Participation

by Cassia TROJAHN

(NEW title and abstract of Chris Partridge's presentation) Dear all, The Educational Series on Applied Ontology (ESAO) [1] is open for everyone and welcomes students, researchers and practitioners alike. The 14h ESAO webinar will be held on Tuesday December 17th, 2024 at 16:00 CET. --------------------------- When and how to connect Tuesday December 17th, 2024 15:00 UTC / 16:00 CET / 17:00 SAST Duration: 90 minutes Video conference (via Zoom) : https://univ-tlse2.zoom.us/j/92895546685?pwd=DQD7Wzf3ZJw02LJ2hHmrVDwdN474PZ… --------------------------- Program 15:00 - 16:30 UTC / 16:00 - 17:30 CET / 17:00 - 18:30 SAST / 12:00 - 13:30 UTC-3 ********************************************************* Chris Partridge, BORO Solutions Limited and University of Westminster, UK Extending the design space of ontologization practices: Using bCLEARer as an example Abstract: The aim of this seminar is to suggest that the design space for the ontologization process is richer than current practice would suggest. That it is possible to open the space up to a range of radically new practices. This consciously builds upon the notion that engineering processes as well as products need to be designed. We provide evidence for the new practices from our work over the last three decades with an outlier methodology, bCLEARer. We also provide some contextual scaffolding for a perspective that we have found we needed to better understand the nature of these new practices. This is an evolutionary perspective which sees digitalization (the evolutionary emergence of computing technologies) as part of the latest step in a long evolutionary trail of information transitions. And sees ontologization as a tool for exploiting the emerging opportunities offered by digitalization. ********************************************************* Maria Keet, University of Cape Town, South Africa Competency questions (30 minutes + Q&A) Abstract: Competency Questions (CQs) for ontologies were initially proposed as a way to assist with scoping of an ontology's content requirements for ontology development, but gradually have been taking up more diverse uses, including ontology validation and reuse, and as part of test-driven development of ontologies. Since authoring CQs is perceived as an arduous and error-prone task, research efforts have gone into automated writing assistance, the notion of what good and bad CQs are, and their formalisation into OWL and SPARQL queries. This ESAO webinar will cover CQ foundations and recent advances in research on CQs for ontologies. Best regards Cassia Trojahn, Frank Loebe, Laure Vieu On behalf of the IAOA Education Committee [1] https://wiki.iaoa.org/index.php/Edu:ESAO

4 months, 1 week

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[RuleML+RR 2025] Call for papers

by Kai Sauerwald

############################################################################### The 9th International Joint Conference on Rules and Reasoning (RuleML+RR 2025) == Call for Papers == *** RuleML+RR 2025 *** *** 22-24 September 2025 *** *** İstanbul, Türkİye *** Abstract: June 2nd, 2025 Paper: June 9th, 2025 Homepage: https://2025.declarativeai.net/events/ruleml-rr RuleML+RR 2025 is part of Declarative AI 2025 (https://2025.declarativeai.net/) ############################################################################### RuleML+RR 2025 is a leading international joint conference in the field of rule-based reasoning. One of the main goals of RuleML+RR is to build bridges between academia and industry in the area of semantic reasoning. RuleML+RR 2025 aims to bring together researchers and practitioners interested in the foundations and applications of rules and reasoning. It provides a forum for stimulating cooperation between different communities focused on the research, development, and applications of rule-based systems. We solicit high-quality papers related to theoretical advances, novel technologies, and applications that involve rule-based representation and reasoning or other declarative forms of artificial intelligence. The RuleML+RR 2025 conference is part of the event “Declarative AI: Rules, Reasoning, Decisions, and Explanations” (https://2025.declarativeai.net/) and is co-located with DecisionCAMP 2025 and the Reasoning Web Summer School. Apart from the main track, it features: * Rule Challenge (https://2025.declarativeai.net/events/ruleml-rr/rule-challenge), * Doctoral Consortium (https://2025.declarativeai.net/events/ruleml-rr/doctoral-consortium), * Industry Track (https://2025.declarativeai.net/events/ruleml-rr/industry-track), * Project Networking Session (https://2025.declarativeai.net/events/ruleml-rr/networking-session) *** Topics *** RuleML+RR welcomes research from all areas of Rules and Reasoning. The topics of the conference include, but are not limited to: * Ontology/Semantic Web * Rules for AI and AI for Rules * Rules and Reasoning / Logics * Rules-Based Systems * Rules and Interoperability * Constraints and Schema * System Descriptions, Applications and Experiences of Ontologies and Rules See the conference homepage for more details on the topics: https://2025.declarativeai.net/events/ruleml-rr/cfp *** Important Dates *** Main track: Abstract submission: June 2, 2025 Paper submission: June 9, 2025 Notification: July 28, 2025 Conference: September 22–24, 2025 Associated events (Rule Challenge, Doctoral Consortium, Industry Track, and ProjectNetworking Session) - July 10, 2025: Paper submission deadline - July 31, 2025: Notification of acceptance For each of these deadlines, a cut-off point of 23:59 AOE applies. **Submission and Publication** High-quality papers related to theoretical advances, novel technologies, and artificial intelligence applications concerning explainable algorithmic decision-making that involve rule-based representation and reasoning are solicited. We accept the following submission formats for papers: - Long papers (up to 15 pages in LNCS style excluding references, plus 2 additional pages for references) - Short papers (up to 8 pages in LNCS style excluding references, plus 1 additional page for references) Long papers should present original and significant research and/or development results. Short papers should concisely describe general results or specific applications, systems, or position statements. All submissions must be prepared in Springer's LNCS style (http://www.springer.com/comp/lncs/authors.html). Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference/workshop with formal proceedings. Double submission to a workshop with informal proceedings is allowed. Papers put on arXiv are also allowed as long as they are not refereed (i.e., formally reviewed by peers). Submissions to the RuleML+RR conference - abide by the page limits (see above) - are not anonymous - can have additional material included as an external report (appendices to the submission are not permitted and a paper should be self-contained) Papers should be written in English and submitted using EasyChair: https://easychair.org/conferences/?conf=rulemlrr2025 The conference proceedings will be published by Springer in the Lecture Notesin Computer Science series (LNCS) after the conference. Proceedings of the associated events will be published by CEUR. Special Issues of Theory and Practice of Logic Programming and Transactions on Graph Data and Knowledge are planned with extended versions of selected papers. The main track's best paper will be awarded the RuleML+RR Harold Boley Distinguished Paper Award 2025 and best student paper will be awarded the RuleML+RR Best Student Paper Award 2025. The best RuleML Challenge paper will be awarded the RuleML+RR Best Rule Challenge Paper Award 2025. The best Doctoral Consortium paper will be awarded the RuleML+RR Best Doctoral Consortium Paper Award 2025. ***Chairs*** Program Chairs Aidan Hogan, University of Chile, Chile Ken Satoh, National Institute of Informatics, Japan Proceedings Chairs Dumitru Roman, SINTEF AS, Norway Ahmet Soylu, Kristiania University College, Norway Rule Challenge Chairs Alessandro Margara, Politecnico di Milano, Italy Tomáš Kliegr, Prague University of Economics and Business, Czechia Doctoral Consortium Chairs Shqiponja Ahmetaj, TU Wien, Austria Riccardo Tommasini, INSA Lyon, France Industry Track Chairs Luigi Bellomarini, Banca d’Italia, Italy Evgeny Kharlamov, Bosch Center for Artificial Intelligence, Germany Ioana Georgiana Ciuciu, Babeș-Bolyai University, Romania Networking Session Dumitru Roman, SINTEF AS, Norway George Konstantinidis, University of Southampton, UK Emanuel Sallinger, Vienna University of Technology, Austria Publicity Chairs Kai Sauerwald, FernUniversität in Hagen, Germany Tor-Morten Grønli, Kristiania University College, Norway Romuald Esdras Wandji, Umeå University, Sweeden

4 months, 1 week

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ESAO Webinar n.14 on Tuesday December 17th, 2024 16:00 CET –- Call for Participation

by Cassia TROJAHN

Dear all, The Educational Series on Applied Ontology (ESAO) [1] is open for everyone and welcomes students, researchers and practitioners alike. The 14h ESAO webinar will be held on Tuesday December 17th, 2024 at 16:00 CET. --------------------------- When and how to connect Tuesday December 17th, 2024 15:00 UTC / 16:00 CET / 17:00 SAST Duration: 90 minutes Video conference (via Zoom) : https://univ-tlse2.zoom.us/j/92895546685?pwd=DQD7Wzf3ZJw02LJ2hHmrVDwdN474PZ… --------------------------- Program 15:00 - 16:30 UTC / 16:00 - 17:30 CET / 17:00 - 18:30 SAST / 12:00 - 13:30 UTC-3 ********************************************************* Chris Partridge, BORO Solutions Limited and University of Westminster, UK Ontology-driven conceptual modelling: a 4D perspective (30 minutes + Q&A) Abstract: Conceptual modelling underpins all activities related to information systems development, integration and evolution. As digitalisation increases within and across organisations, significant problems arise when developing or changing business requirements, maintaining existing systems and exchanging data between them. Many of the problems that arise are due to the semantic inconsistencies in the underlying models of such systems. This seminar will discuss how a 4D foundational ontology (BORO) and its method for semantic improvement (bCLEARer) can provide the basis for increased ontological clarity and consistency of conceptual models by working on and semantically reengineering data from existing information systems. The seminar will explain BORO’s top-level ontology, its criteria of identity and its meta-ontological choices. It will then present examples of how the method helps to semantically re-engineer and improve models/data from existing systems. ********************************************************* Maria Keet, University of Cape Town, South Africa Competency questions (30 minutes + Q&A) Abstract: Competency Questions (CQs) for ontologies were initially proposed as a way to assist with scoping of an ontology's content requirements for ontology development, but gradually have been taking up more diverse uses, including ontology validation and reuse, and as part of test-driven development of ontologies. Since authoring CQs is perceived as an arduous and error-prone task, research efforts have gone into automated writing assistance, the notion of what good and bad CQs are, and their formalisation into OWL and SPARQL queries. This ESAO webinar will cover CQ foundations and recent advances in research on CQs for ontologies. Best regards Cassia Trojahn, Frank Loebe, Laure Vieu On behalf of the IAOA Education Committee [1] https://wiki.iaoa.org/index.php/Edu:ESAO

4 months, 1 week

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CFP IJCRS 25

by Stefania Boffa

Dear Colleagues, Let me share the CFP of the *11th International Joint Conference on Rough Sets (*IJCRS 2025 <http://ijcrs2025.cqupt.edu.cn/#/home>*) *with you*.* Best wishes Stefania Boffa IJCRS 2025 Publicity Chair

4 months, 1 week

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First Call for Papers - 2nd International Joint Conference on Conceptual Knowledge Structures (CONCEPTS 2025)

by Peggy Cellier

*2nd International Joint Conference on Conceptual Knowledge Structures (CONCEPTS 2025)* *Cluj-Napoca, România- September, 8th-12th, 2025* *https://concepts2025.conference.ubbcluj.ro/ <https://concepts2025.conference.ubbcluj.ro/>* 29th Intl. Conf. on Conceptual Structures (ICCS) 19th Intl. Conf. on Formal Concept Analysis (ICFCA) 18th Intl. Conf. on Concept Lattices and their Applications (CLA) CONCEPTS, the International Conference on Conceptual Knowledge Structures is a merger of the three conferences CLA, ICCS, and ICFCA, which have been essential venues for researchers and practitioners working on theoretical and applied aspects of formal concept analysis and representation of conceptual knowledge, as well as closely related areas, such as data mining, information retrieval, knowledge management, and discovery. CONCEPTS 2025, the second conference in this new series, aims to continue the tradition and standards of previous conferences and to become a key annual meeting for all members of the three communities, CLA, ICCS, and ICFCA, to keep abreast of the advances and new challenges in the field. Main topics include but are not limited to: * Fundamental aspects of Formal Concept Analysis (e.g., FCA theory, concept lattices, algorithms and computational complexity) * Conceptual graphs, graph-based models for human reasoning * Knowledge spaces and learning spaces * Fuzzy, relational, and/or triadic conceptual structures * Conceptual knowledge acquisition, management, exploration, analysis, and/or visualization * Probabilistic or approximative approaches to conceptual knowledge * Bridging conceptual structures to information sciences, artificial intelligence, data mining, machine learning, information retrieval, database theory, software engineering, and other areas of computer science * Ontologies, semantic web, knowledge graphs, and their relation to conceptual knowledge structures such as concept lattices and conceptual graphs. * Conceptual structures in natural language processing and linguistics * Understanding real-world data and modeling real-world phenomena with conceptual structures (e.g., applications in digital humanities, cybersecurity, biology, medicine, social network analysis) * Psychology, philosophy, and conceptual structures. *Submission details:* Submissions are invited on significant, original (previously unpublished) research on the topics of the conference: * Journal-track papers up to 26 pages, to be published in a special issue of the<https://www.sciencedirect.com/journal/international-journal-of-approximate-…>International Journal of Approximate Reasoning (IJAR) <https://www.sciencedirect.com/journal/international-journal-of-approximate-…>; * Regular papers up to 16 pages and short papers up to 8 pages are to be published by Springer in the LNAI series as a proceedings volume. All submissions will be subject to single-blind peer review. Accepted papers have to be presented at the conference on-site. Therefore, at least one author per paper has to register timely and attend the conference on-site. *Important dates and submission instructions:* /***Journal-track submissions***/ - Full paper submission: *March 16, 2025 (AoE)* - Paper reviews sent to authors: *May 2nd, 2025* - Revised submission: *June 2, 2025* - Notification of acceptance: *June 29, 2025* Details about the submission system and the guidelines to authors will be provided shortly. /***Regular and short papers***/ - Abstract submission: *March 17, 2025 (AoE)* - Full paper submission: *March 24, 2025 (AoE)* - Notification of acceptance: *May 14, 2025* - Camera-ready papers due: *May 29, 2025* Submission link:<https://equinocs.springernature.com/home>https://equinocs.springernature.com/home <https://equinocs.springernature.com/home> Please select the appropriate category for your submitted manuscript, “regular paper” or “short paper.” Please visit the page<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>Information for authors <https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…> on Springer's website for templates and formatting style. *Organization:* _General and Conference Chair:_ Christian Săcărea, Babeș-Bolyai University, Romania _Program Chairs:_ Peggy Cellier, IRISA/INSA Rennes, France Bernhard Ganter, TU Dresden, Germany Rokia Missaoui, Université du Québec en Outaouais, Canada _Local organizer Committee:_ Christian Săcărea, Babeș-Bolyai University, Cluj-Napoca, România Diana Cristea, Babeș-Bolyai University, Cluj-Napoca, Diana Șotropa, Babeș-Bolyai University, Cluj-Napoca _Executive Board:_ Jaume Baixeries, Polytechnic University of Catalonia, Spain Radim Belohlavek, Palacký University Olomouc, Czech Republic Tanya Braun, University of Münster, Germany Madalina Croitoru, University of Montpellier, France Sébastien Ferré, University of Rennes, France Sergei Kuznetsov, HSE University, Moscow, Russia Rokia Missaoui, Université du Québec en Outaouais, Canada Amedeo Napoli, LORIA, Nancy, France Sergei Obiedkov, TU Dresden, Germany Manuel Ojeda-Aciego, University of Malaga, Spain Uta Priss, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany Gerd Stumme, University of Kassel, Germany _Program Committee:_ Jaume Baixeries, Polytechnic University of Catalonia, Spain Alexandre Bazin, LIRMM, Montpellier, France Mike Behrisch, Technische Universität Wien, Austria Sadok Ben Yahia, Technology University of Tallinn, Estonia Karell Bertet, La Rochelle University, France Inma P. Cabrera, Universidad de Málaga, Spain Peggy Cellier, IRISA/INSA Rennes, France Maria Eugenia Cornejo Piñero, University of Cádiz, Spain Christophe Demko, La Rochelle University, France Xavier Dolques, Université de Strasbourg, France Dominik Dürrschnabel, Universität Kassel, Germany Sébastien Ferré, IRISA université de Rennes, France Bernhard Ganter, TU Dresden, Germany Alain Gely, université de Lorraine, France Tom Hanika, University of Hildesheim, Germany Tobias Hille, University of Kassel Germany Marianne Huchard, LIRMM, Univ. Montpellier, France Mohamed Hamza Ibrahim, University of Quebec in Outaouais, Canada Dmitry Ignatov, HSE University, Moscow, Russia Mehdi Kaytoue, Infologic R&D, France Blaise Blériot Koguep Njionou, Université de Dschang, Cameroun Francesco Kriegel, TU Dresden, Germany Sergei Kuznetsov, HSE University, Moscow, Russia Leonard Kwuida, Bern University of Applied Sciences, Switzerland Florence Le Ber, Université de Strasbourg, France Pierre Martin, University of Montpellier, France Jesús Medina, University of Cádiz, Spain Rokia Missaoui, University of Quebec in Outaouais, Canada Amedeo Napoli, LORIA, Université de Lorraine, France Sergei Obiedkov, TU Dresden, Germany Manuel Ojeda-Aciego, Universidad de Málaga, Spain Jan Outrata, Palacký University Olomouc, Czech Republic Tim Pattison, Defence Science and Technology Group, Australia Carmen Peláez-Moreno, Univ. Carlos III de Madrid, Spain Uta Priss, Ostfalia Hochschule of Applied Sciences, Wolfenbüttel, Germany Sandor Radeleczki, University of Miskolc, Hungary Eloísa Ramírez Poussa, Universidad de Cádiz, Spain Sebastian Rudolph, TU Dresden, Germany Baris Sertkaya, Frankfurt University of Applied Sciences, Germany Henry Soldano, Université Paris 13, France Petko Valtchev, Université du Québec à Montréal, Canada Gerd Stumme, University of Kassel, Germany Martin Trnecka, Palacký University Olomouc, Czech Republic Francisco José Valverde-Albacete, Univ. Rey Juan Carlos, Madrid, Spain We look forward to meeting you in Cluj-Napoca. Please, feel free to contact us for any further information. Sincerely yours, Peggy Cellier, Bernhard Ganter, and Rokia Missaoui *CONCEPTS 2025 Program chairs* Email contact address: concepts25(a)lists.cs.uni-kassel.de

4 months, 2 weeks

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Link for coordinating first working group meeting: FCA repository

by Tom Hanika

Dear FCA Researcher, as presented today at CONCEPTS 2024 [1] we will have the first meeting of the fcarepository.org working group in November. You are invited to participate in and contribute to this new FCA endeavor. To coordinate the date we set up a calendar tool [2]. Please indicate which dates would fit for you, if you want to participate. Best regards Tom [1] https://concepts2024.uca.es/ [2] https://terminplaner6.dfn.de/p/524cbe1df59d322f67043c5ad65a6009-870853 -- Dr. Tom Hanika Universität Kassel Tel.: +49 (0) 561 804 6252 https://www.kde.cs.uni-kassel.de/hanika ---------------------------------------------------------------------

4 months, 3 weeks

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ESAO Webinar n.13 on Tuesday November 12th, 2024 16:00 CET –- Call for Participation

by Cassia TROJAHN

Dear all, The Educational Series on Applied Ontology (ESAO) [1] is open for everyone and welcomes students, researchers and practitioners alike. The 13h ESAO webinar will be held on Tuesday November 12th, 2024 at 16:00 CET. --------------------------- When and how to connect Tuesday November 12th, 2024 15:00 UTC / 16:00 CET / 17:00 SAST Duration: 60 minutes Video conference (via Zoom) : https://univ-tlse2.zoom.us/j/92895546685?pwd=DQD7Wzf3ZJw02LJ2hHmrVDwdN474PZ… --------------------------- Program 15:00 - 16:00 UTC / 16:00 - 17:00 CET / 17:00 - 18:00 SAST / 12:00 - 13:00 UTC-3 Jérôme Euzenat, INRIA & Univ. Grenoble Alpes, France Ontology evolution Abstract: Unless considering ontologies as transcendental and perfect, they need to evolve. This may be because the world they represent evolves or the purpose they fulfill requires it. In general, what triggers evolution is the inadequacy of an ontology. Restoring it may be carried out by human designers or automatic means, but it is worthwhile that they follow rules. In this short presentation, we will discuss two techniques that may help evolving ontologies: belief revision and artificial cultural evolution. How they are different and how they are alike. Best regards Cassia Trojahn, Frank Loebe, Laure Vieu On behalf of the IAOA Education Committee [1] https://wiki.iaoa.org/index.php/Edu:ESAO

5 months, 2 weeks

1
0
0 0

ESAO Webinar n.12 on Tuesday October 1st, 2024 16:00 CEST –- Call for Participation

by Cassia TROJAHN

Dear all, The Educational Series on Applied Ontology (ESAO) [1] is open for everyone and welcomes students, researchers and practitioners alike. The 12h ESAO webinar will be held on Tuesday October 1st, 2024 at 16:00 CET. --------------------------- When and how to connect Tuesday October 1st, 2024 14:00 UTC / 16:00 CEST / 16:00 SAST Duration: 90 minutes Video conference (via Zoom) : https://univ-tlse2.zoom.us/j/92895546685?pwd=DQD7Wzf3ZJw02LJ2hHmrVDwdN474PZ… --------------------------- Program 14:00-15:30 UTC / 16:00-17:30 CEST / 16:00-17:30 SAST / 11:00-12:30 UTC-3 Olivier Kutz, Free University of Bozen-Bolzano, Italy Title: Concepts, concept combinations, and the tooth operator Abstract: We will discuss some of the approaches to model concepts and concept combinations with the help of logic, and illustrate how such modelling approaches are capable (or not) of modelling aspects of human reasoning with concepts. We will then explain the basic ideas underlying the framework of weighted description logics, also called perceptron or 'tooth' logic, and illustrate its key features and benefits for modelling and reasoning with concepts. Maria Hedblom, Jönköping University, Sweden Title: Cognitive foundations for KR Abstract: TBA Best regards Cassia Trojahn, Frank Loebe, Laure Vieu On behalf of the IAOA Education Committee [1] https://wiki.iaoa.org/index.php/Edu:ESAO

7 months

1
0
0 0

Workshop FCA4AI 2024 (Deadline extension)

by Amedeo Napoli

Sorry for duplicates. ------------------------------------------------------------------------------------------------------------------- -- FCA4AI (Twelfth Edition) -- "What can FCA do for Artificial Intelligence?'' co-located with ECAI 2024, Santiago de Compostela, Spain October 19th 2024 http://www.fca4ai.hse.ru/2024 ------------------------------------------------------------------------------------------------------------------- General Information. The eleven preceding editions of the FCA4AI Workshop (from ECAI 2012 until IJCAI 2023) showed that many researchers working in Artificial Intelligence are indeed interested in powerful techniques for classification and data mining provided by Formal Concept Analysis. The twelfth edition of FCA4AI will once more be co-located with the ECAI Conference, and thus be held in Santiago de Compostela. Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed at data analysis and classification. FCA allows one to build a concept lattice and a system of dependencies (implications and association rules) which can be used for many AI needs, e.g. knowledge processing, knowledge discovery, knowledge representation and reasoning, ontology engineering as well as information retrieval, recommendation, social network analysis and text processing. Thus, there are many "natural links'' between FCA and AI. Recent years have been witnessing increased scientific activity around FCA, in particular a strand of work emerged that is aimed at extending the possibilities of plain FCA w.r.t. knowledge processing, such as work on pattern structures and relational context analysis, as well as on hybridization with other formalisms. These extensions are aimed at allowing FCA to deal with more complex than just binary data, for solving complex problems in data analysis, classification, knowledge processing, etc. While the capabilities of FCA are extended, new possibilities are arising in the framework of FCA. As usual, the FCA4AI workshop is dedicated to the discussion of such issues, and in particular: - How can FCA support AI activities in knowledge discovery, knowledge representation and reasoning, machine learning, natural language processing and others? - Vice versa, how can the current developments in AI be adopted within FCA to help AI researchers solve complex problems in their domain? - Which role can FCA play in the new trends in AI, especially in ML, XAI, fairness of algorithms, and "hybrid systems'' combining symbolic and subsymbolic approaches? TOPICS OF INTEREST include but are not limited to: - Concept lattices and related structures: pattern structures, relational structures, distributive lattices. - Knowledge discovery and data mining: pattern mining, association rules, attribute implications, subgroup discovery, exceptional model mining, data dependencies, attribute exploration, stability, projections, interestingness measures, MDL principle, mining of complex data, triadic and polyadic analysis. - Knowledge and data engineering: knowledge representation, reasoning, ontology engineering, mining the web of data, text mining, data quality checking. - Analyzing the potential of FCA in supporting hybrid systems: how to combine FCA and data mining algorithms, such as deep learning for building hybrid knowledge discovery systems, producing explanations, and assessing system fairness. - Analyzing the potential of FCA in AI tasks such as classification, clustering, biclustering, information retrieval, navigation, recommendation, text processing, visualization, pattern recognition, analysis of social networks. - FCA and Large Language Models (LLMs). - Practical applications in agronomy, astronomy, biology, chemistry, finance, manufacturing, medicine, and others. The workshop will include time for audience discussion aimed at a better understanding of the issues, challenges, and ideas being presented. IMPORTANT DATES: Submission deadline: September 08 2024 Notification to authors: September 23 2024 Final version: October 06 2024 Workshop: October 19 2024 SUBMISSION DETAILS: The workshop welcomes submissions in pdf format following the CEURART style 1-column (to be downloaded at https://ceur-ws.org/Vol-XXX/CEURART.zip). Submissions can be: - technical papers between 8 and 12 pages, - system descriptions or position papers describing work in progress not exceeding 6 pages. Submissions are via EasyChair at https://easychair.org/conferences/?conf=fca4ai2024 The workshop proceedings will be published as CEUR proceedings (see preceding editions in CEUR Proceedings Vol-3489, Vol-3233, Vol-2972, Vol-2729, Vol-2529, Vol-2149, Vol-1703, Vol-1430, Vol-1257, Vol-1058, and Vol-939). WORKSHOP CHAIRS: Sergei O. Kuznetsov National Research University Higher Schools of Economics, Moscow, Russia Amedeo Napoli Université de Lorraine, CNRS, Inria, LORIA, Nancy, France Sebastian Rudolph Technische Universität Dresden, Germany PROGRAM COMMITTEE (under construction) ------------------------------------------------------------------------------------------------------------------- -------------------------------------------------------------------------------------------------------------------

8 months

1
0
0 0

Second Rostock Open Science Workshop

by MPIDR - Career

Open science aims to make research results and materials freely accessible to everyone, with the goal of increasing knowledge circulation, increasing transparency, and providing the means to reproduce and generalize published findings. Venue: Max Planck Institute for Demographic Research (MPIDR), Rostock, Germany Dates: March 17-18, 2025 Website: https://www.demogr.mpg.de/en/news_events_6123/calendar_1921/second_rostock_… -- This mail has been sent through the MPI for Demographic Research. Should you receive a mail that is apparently from a MPI user without this text displayed, then the address has most likely been faked. If you are uncertain about the validity of this message, please check the mail header or ask your system administrator for assistance.

8 months, 3 weeks

1
0
0 0

[KaRS 2024] 3rd CfP: 6th Knowledge-aware and Conversational Recommender Systems Workshop 2024 @ ACM RecSys

by Vito Walter Anelli

3rd Call for Papers Sixth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS 2024) https://kars-workshop.github.io/2024/ Oct. 14th - Oct. 18th, 2024, Bari Submission deadline: August 30th, 2024, AoE We are pleased to invite you to contribute to the Sixth Knowledge-aware and Conversational Recommender Systems Workshop held in conjunction with the ACM International Conference on Recommender Systems (RecSys 2024), Bari, Italy, from October the 14th to October the 18th, 2024. # Scope Recommender systems have achieved ubiquity across various domains, ranging from e-commerce to media content suggestions, playing pivotal roles in facilitating user online experiences. However, despite their prevalence, these systems often encounter challenges in effectively engaging with human users. While data-driven algorithms have demonstrated success in uncovering latent connections within user-item interactions, they frequently overlook the central actor in this loop: the end-user. A prevalent behavior among human users, which is rarely encoded in recommendation engines, is the utilization of domain-specific knowledge. Fortunately, Knowledge-aware Recommender Systems are garnering increasing attention within the recommendation community. By leveraging explicit domain knowledge represented via ontologies or knowledge graphs, these approaches can understand the semantic relationships between users, items, and other entities, thus offering tailored recommendations to users and addressing inherent limitations of purely data-driven systems. Despite their existence for over two decades, their significance has been revitalized due to the Linked Open Data initiative and the availability of large knowledge-graphs such as DBpedia and Wikidata. Linked data and their ontologies underpin many recommendation approaches and challenges proposed in recent years, such as Knowledge Graph embeddings, hybrid recommendation, link prediction, knowledge transfer, interpretable recommendation, and user modeling. Moreover, a new wave in this domain is marked by the emergence of neuro-symbolic systems, integrating data-driven methodologies with symbolic reasoning. This fusion of machine learning systems, adept at harnessing data, with symbolic approaches, adept at leveraging knowledge, holds promise in enhancing recommendation quality, particularly in scenarios with sparse training data. In parallel, the rise of Conversational Recommender Systems (CRSs) highlights the crucial role of content features in facilitating user interactions, particularly in multi-turn dialogues between users and the system, which bring about novel challenges, such as the incorporation of both short- and long-term preferences, prompt adaptation to user feedback, the limited availability of datasets, and the evaluation beyond simple accuracy metrics. In this context, the emergence of Large Language Models (LLMs) is pivotal and has breathed new life into CRSs. LLMs significantly impact CRSs by leveraging their advanced capabilities in understanding user queries and generating relevant recommendations in natural language. They excel in processing complex and nuanced user inputs, allowing for more seamless and engaging interactions between users and the system. Moreover, LLMs contribute to the adaptability and responsiveness of CRSs by continuously learning from user interactions, thus refining their recommendations and improving the user experience over time. The **Sixth Knowledge-aware and Conversational Recommender Systems (KaRS) Workshop** aims to spark a new generation of research that prioritizes user experience, engagement, and satisfaction over mere accuracy. Drawing upon a multifaceted set of expertise including **Machine Learning**, **Deep Learning**, **Human-Computer Interaction**, **Information Retrieval**, and **Information Systems**, this workshop endeavors to catalyze a fresh wave of research. KaRS serves as a dynamic forum where researchers and practitioners, scholars and industry professionals, converge to not only disseminate their latest findings but also to identify the emerging topics, delineate the next key challenges, and forecast the future opportunities for research and development. Through fostering active participation and facilitating the exchange of ideas, KaRS aims to cultivate an interdisciplinary community that collaborates on the topics of knowledge-aware and conversational recommenders, alongside the emerging topics of LLMs and neuro-symbolic methodologies, which further extend the scope of this new edition of KaRS. # Topics This workshop aims at establishing an interdisciplinary community with a focus on the exploitation of (semi-)structured knowledge and conversational approaches for recommender systems and promoting collaboration opportunities between researchers and practitioners. Topics of interest include, but are not limited to: - **Knowledge-aware Recommender Systems**. - Models and Feature Engineering: - Knowledge-aware data models based on structured knowledge sources (e.g., Linked Open Data, BabelNet, Wikidata, etc.) - Semantics-aware approaches exploiting the analysis of textual sources (e.g., Wikipedia, Social Web, etc.) - Knowledge-aware user modeling - Methodological aspects (evaluation protocols, metrics, and data sets) - Logic-based modeling of a recommendation process - Knowledge Representation and Automated Reasoning for recommendation engines - Deep learning methods to model semantic features - Large language models (LLMs) for Knowledge-aware Recommender Systems - Beyond-Accuracy Recommendation Quality: - Using knowledge bases and knowledge graphs to increase recommendation quality(e.g., in terms of novelty, diversity, serendipity, or explainability) - Explainable Recommender Systems - Knowledge-aware explanations to recommendations (compliant with the General Data Protection Regulation) - Online Studies: - Using knowledge sources for cross-lingual recommendations - Applications of knowledge-aware recommenders (e.g., music or news recommendation, off-mainstream application areas) - User studies (e.g., on the user's perception of knowledge-based recommendations), field studies, in-depth experimental offline evaluations - **Conversational Recommender Systems**. - Design of a Conversational Agent: - Design and implementation methodologies - Dialogue management (end-to-end, dialog-state-tracker models) - UX design - Dialog protocols design - Large language models (LLMs) for Conversational Recommender Systems - User Modeling and interfaces: - Critiquing and user feedback exploitation - Short- and Long-term user profiling and modeling - Preference elicitation - Natural language-, multi-modal-, and voice-based interfaces - Next-question problem - Methodological and Theoretical aspects: - Evaluation and metrics - Datasets - Theoretical aspects of conversational recommender systems # Submissions We invite three kinds of submissions, which address novel issues in Knowledge-aware and Conversational Recommender Systems: * **Long Papers** should report on substantial contributions of lasting value. **The Long papers must have a length of a minimum of 6 and a maximum of 8 pages (plus an unlimited number of pages for references)**. * **Short/Demo Papers** typically discuss exciting new work that is not yet mature enough for a long paper. In particular, novel but significant proposals will be considered for acceptance in this category despite not having gone through sufficient experimental validation or lacking a strong theoretical foundation. Applications of recommender systems to novel areas are especially welcome. **The Short/Demo papers must have a length of a minimum of 3 and a maximum of 5 pages (plus an unlimited number of pages for references)**. * **Position/Discussion Papers** describe novel and innovative ideas. Position papers may also comprise an analysis of currently unsolved problems, or review these problems from a new perspective, in order to contribute to a better understanding of these problems in the research community. We expect that such papers will guide future research by highlighting critical assumptions, motivating the difficulty of a certain problem, or explaining why current techniques are not sufficient, possibly corroborated by quantitative and qualitative arguments. **The Position/Discussion papers must have a length of a minimum of 2 and a maximum of 3 pages (plus an unlimited number of pages for references)**. Papers may range from theoretical works to system descriptions. We particularly encourage Ph.D. students or Early-Stage Researchers to submit their research. We also welcome contributions from the industry and papers describing ongoing funded projects which may result useful to the Knowledge-aware and Conversational Recommender Systems community. Submission will be peer-reviewed and accepted papers will appear in the **workshop proceedings** (CEUR workshop series). The review process is **single-blind**. Submitted papers will be evaluated according to their originality, technical content, style, clarity, and relevance to the workshop. Long and short/demo paper submissions must be original work and may not be under submission to another venue at the time of review. Each accepted long or short paper will be included in the CEUR online Workshop proceedings and presented in a plenary session as part of the Workshop program. Original position/discussion accepted papers will be included in the CEUR online Workshop proceedings. Selected position/discussion papers will be invited as oral presentations. Submissions of full research papers must be in English, in PDF format in the **CEUR-WS two-column conference format** available as compressed archive (http://ceur-ws.org/Vol-XXX/CEURART.zip) or as Overleaf template (https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-w…). Papers must be submitted through EasyChair (https://easychair.org/conferences/?conf=recsys2024workshops) by selecting the track "KaRS: Sixth Knowledge-aware and Conversational Recommender Systems Workshop". # Important Dates * **Paper submissions deadline**: August 30th, 2024 * **Paper acceptance notification**: September 16th, 2024 * **Camera-ready deadline**: September 30th, 2024 * **Workshop day**: October 14th-18th, 2024 Deadlines refer to 23:59 (11:59 pm) in the AoE (Anywhere on Earth) time zone. Informativa Privacy - Ai sensi del Regolamento (UE) 2016/679 si precisa che le informazioni contenute in questo messaggio sono riservate e ad uso esclusivo del destinatario. Qualora il messaggio in parola Le fosse pervenuto per errore, La preghiamo di eliminarlo senza copiarlo e di non inoltrarlo a terzi, dandocene gentilmente comunicazione. Grazie. Privacy Information - This message, for the Regulation (UE) 2016/679, may contain confidential and/or privileged information. If you are not the addressee or authorized to receive this for the addressee, you must not use, copy, disclose or take any action based on this message or any information herein. If you have received this message in error, please advise the sender immediately by reply e-mail and delete this message. Thank you for your cooperation.

8 months, 3 weeks

1
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Next ESAO webinars

by Cassia TROJAHN

Dear all, The Educational Series on Applied Ontology (ESAO) [1] is open for everyone and welcomes students, researchers and practitioners alike. Three sessions are scheduled to take place in the second semester of 2024 (details on [1]): **September 10th, 16:00 CEST** Olivier Kutz (Free University of Bozen-Bolzano, Italy) Title: TBA Maria Hedblom (Jönköping University, Sweden) Title: Cognitive foundations for KR **November 12th, 16:00 CET** Sandra Lovrencic (University of Zagreb Faculty of organization and informatics) Title: Concepts Jérôme Euzenat (INRIA & Univ. Grenoble Alpes, France) Title: Ontology evolution **December 17th, 16:00 CET** Sergio De Cesare (University of Westminster, UK) Title: Ontology-driven conceptual modelling Maria Keet (University of Cape Town, South Africa) Title: Competency questions We count on your participation! Best regards Cassia Trojahn On behalf of the ESAO organisers [1] https://wiki.iaoa.org/index.php/Edu:ESAO

9 months

1
0
0 0

Call for papers FCA4AI 12th Workshop co-located with ECAI 2024 at Santiago de Compostela, Spain

by Amedeo Napoli

Apologies for duplicates... ------------------------------------------------------------------------------------------------------------------- -- FCA4AI (Twelfth Edition) -- "What can FCA do for Artificial Intelligence?'' co-located with ECAI 2024, Santiago de Compostela, Spain October 19th 2024 http://www.fca4ai.hse.ru/2024 ------------------------------------------------------------------------------------------------------------------- General Information. The eleven preceding editions of the FCA4AI Workshop (from ECAI 2012 until IJCAI 2023) showed that many researchers working in Artificial Intelligence are indeed interested in powerful techniques for classification and data mining provided by Formal Concept Analysis. The twelfth edition of FCA4AI will once more be co-located with the ECAI Conference, and thus be held in Santiago de Compostela. Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed at data analysis and classification. FCA allows one to build a concept lattice and a system of dependencies (implications and association rules) which can be used for many AI needs, e.g. knowledge processing, knowledge discovery, knowledge representation and reasoning, ontology engineering as well as information retrieval, recommendation, social network analysis and text processing. Thus, there are many "natural links'' between FCA and AI. Recent years have been witnessing increased scientific activity around FCA, in particular a strand of work emerged that is aimed at extending the possibilities of plain FCA w.r.t. knowledge processing, such as work on pattern structures and relational context analysis, as well as on hybridization with other formalisms. These extensions are aimed at allowing FCA to deal with more complex than just binary data, for solving complex problems in data analysis, classification, knowledge processing, etc. While the capabilities of FCA are extended, new possibilities are arising in the framework of FCA. As usual, the FCA4AI workshop is dedicated to the discussion of such issues, and in particular: - How can FCA support AI activities in knowledge discovery, knowledge representation and reasoning, machine learning, natural language processing and others? - Vice versa, how can the current developments in AI be adopted within FCA to help AI researchers solve complex problems in their domain? - Which role can FCA play in the new trends in AI, especially in ML, XAI, fairness of algorithms, and "hybrid systems'' combining symbolic and subsymbolic approaches? TOPICS OF INTEREST include but are not limited to: - Concept lattices and related structures: pattern structures, relational structures, distributive lattices. - Knowledge discovery and data mining: pattern mining, association rules, attribute implications, subgroup discovery, exceptional model mining, data dependencies, attribute exploration, stability, projections, interestingness measures, MDL principle, mining of complex data, triadic and polyadic analysis. - Knowledge and data engineering: knowledge representation, reasoning, ontology engineering, mining the web of data, text mining, data quality checking. - Analyzing the potential of FCA in supporting hybrid systems: how to combine FCA and data mining algorithms, such as deep learning for building hybrid knowledge discovery systems, producing explanations, and assessing system fairness. - Analyzing the potential of FCA in AI tasks such as classification, clustering, biclustering, information retrieval, navigation, recommendation, text processing, visualization, pattern recognition, analysis of social networks. - FCA and Large Language Models (LLMs). - Practical applications in agronomy, astronomy, biology, chemistry, finance, manufacturing, medicine, and others. The workshop will include time for audience discussion aimed at a better understanding of the issues, challenges, and ideas being presented. IMPORTANT DATES: Submission deadline: August 25 2024 Notification to authors: September 16 2024 Final version: October 06 2024 Workshop: October 19 2024 SUBMISSION DETAILS: The workshop welcomes submissions in pdf format following the CEURART style 1-column (to be downloaded at https://ceur-ws.org/Vol-XXX/CEURART.zip). Submissions can be: - technical papers between 8 and 12 pages, - system descriptions or position papers describing work in progress not exceeding 6 pages. Submissions are via EasyChair at https://easychair.org/conferences/?conf=fca4ai2024 The workshop proceedings will be published as CEUR proceedings (see preceding editions in CEUR Proceedings Vol-3489, Vol-3233, Vol-2972, Vol-2729, Vol-2529, Vol-2149, Vol-1703, Vol-1430, Vol-1257, Vol-1058, and Vol-939). WORKSHOP CHAIRS: Sergei O. Kuznetsov National Research University Higher Schools of Economics, Moscow, Russia Amedeo Napoli Université de Lorraine, CNRS, Inria, LORIA, Nancy, France Sebastian Rudolph Technische Universität Dresden, Germany PROGRAM COMMITTEE (under construction) ------------------------------------------------------------------------------------------------------------------- -------------------------------------------------------------------------------------------------------------------

9 months, 1 week

1
0
0 0

[KaRS 2024] 2nd CfP: 6th Knowledge-aware and Conversational Recommender Systems Workshop 2024 @ ACM RecSys

by Vito Walter Anelli

2nd Call for Papers Sixth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS 2024) https://kars-workshop.github.io/2024/ Oct. 14th - Oct. 18th, 2024, Bari Submission deadline: August 30th, 2024, AoE We are pleased to invite you to contribute to the Sixth Knowledge-aware and Conversational Recommender Systems Workshop held in conjunction with the ACM International Conference on Recommender Systems (RecSys 2024), Bari, Italy, from October the 14th to October the 18th, 2024. # Scope Recommender systems have achieved ubiquity across various domains, ranging from e-commerce to media content suggestions, playing pivotal roles in facilitating user online experiences. However, despite their prevalence, these systems often encounter challenges in effectively engaging with human users. While data-driven algorithms have demonstrated success in uncovering latent connections within user-item interactions, they frequently overlook the central actor in this loop: the end-user. A prevalent behavior among human users, which is rarely encoded in recommendation engines, is the utilization of domain-specific knowledge. Fortunately, Knowledge-aware Recommender Systems are garnering increasing attention within the recommendation community. By leveraging explicit domain knowledge represented via ontologies or knowledge graphs, these approaches can understand the semantic relationships between users, items, and other entities, thus offering tailored recommendations to users and addressing inherent limitations of purely data-driven systems. Despite their existence for over two decades, their significance has been revitalized due to the Linked Open Data initiative and the availability of large knowledge-graphs such as DBpedia and Wikidata. Linked data and their ontologies underpin many recommendation approaches and challenges proposed in recent years, such as Knowledge Graph embeddings, hybrid recommendation, link prediction, knowledge transfer, interpretable recommendation, and user modeling. Moreover, a new wave in this domain is marked by the emergence of neuro-symbolic systems, integrating data-driven methodologies with symbolic reasoning. This fusion of machine learning systems, adept at harnessing data, with symbolic approaches, adept at leveraging knowledge, holds promise in enhancing recommendation quality, particularly in scenarios with sparse training data. In parallel, the rise of Conversational Recommender Systems (CRSs) highlights the crucial role of content features in facilitating user interactions, particularly in multi-turn dialogues between users and the system, which bring about novel challenges, such as the incorporation of both short- and long-term preferences, prompt adaptation to user feedback, the limited availability of datasets, and the evaluation beyond simple accuracy metrics. In this context, the emergence of Large Language Models (LLMs) is pivotal and has breathed new life into CRSs. LLMs significantly impact CRSs by leveraging their advanced capabilities in understanding user queries and generating relevant recommendations in natural language. They excel in processing complex and nuanced user inputs, allowing for more seamless and engaging interactions between users and the system. Moreover, LLMs contribute to the adaptability and responsiveness of CRSs by continuously learning from user interactions, thus refining their recommendations and improving the user experience over time. The **Sixth Knowledge-aware and Conversational Recommender Systems (KaRS) Workshop** aims to spark a new generation of research that prioritizes user experience, engagement, and satisfaction over mere accuracy. Drawing upon a multifaceted set of expertise including **Machine Learning**, **Deep Learning**, **Human-Computer Interaction**, **Information Retrieval**, and **Information Systems**, this workshop endeavors to catalyze a fresh wave of research. KaRS serves as a dynamic forum where researchers and practitioners, scholars and industry professionals, converge to not only disseminate their latest findings but also to identify the emerging topics, delineate the next key challenges, and forecast the future opportunities for research and development. Through fostering active participation and facilitating the exchange of ideas, KaRS aims to cultivate an interdisciplinary community that collaborates on the topics of knowledge-aware and conversational recommenders, alongside the emerging topics of LLMs and neuro-symbolic methodologies, which further extend the scope of this new edition of KaRS. # Topics This workshop aims at establishing an interdisciplinary community with a focus on the exploitation of (semi-)structured knowledge and conversational approaches for recommender systems and promoting collaboration opportunities between researchers and practitioners. Topics of interest include, but are not limited to: - **Knowledge-aware Recommender Systems**. - Models and Feature Engineering: - Knowledge-aware data models based on structured knowledge sources (e.g., Linked Open Data, BabelNet, Wikidata, etc.) - Semantics-aware approaches exploiting the analysis of textual sources (e.g., Wikipedia, Social Web, etc.) - Knowledge-aware user modeling - Methodological aspects (evaluation protocols, metrics, and data sets) - Logic-based modeling of a recommendation process - Knowledge Representation and Automated Reasoning for recommendation engines - Deep learning methods to model semantic features - Large language models (LLMs) for Knowledge-aware Recommender Systems - Beyond-Accuracy Recommendation Quality: - Using knowledge bases and knowledge graphs to increase recommendation quality(e.g., in terms of novelty, diversity, serendipity, or explainability) - Explainable Recommender Systems - Knowledge-aware explanations to recommendations (compliant with the General Data Protection Regulation) - Online Studies: - Using knowledge sources for cross-lingual recommendations - Applications of knowledge-aware recommenders (e.g., music or news recommendation, off-mainstream application areas) - User studies (e.g., on the user's perception of knowledge-based recommendations), field studies, in-depth experimental offline evaluations - **Conversational Recommender Systems**. - Design of a Conversational Agent: - Design and implementation methodologies - Dialogue management (end-to-end, dialog-state-tracker models) - UX design - Dialog protocols design - Large language models (LLMs) for Conversational Recommender Systems - User Modeling and interfaces: - Critiquing and user feedback exploitation - Short- and Long-term user profiling and modeling - Preference elicitation - Natural language-, multi-modal-, and voice-based interfaces - Next-question problem - Methodological and Theoretical aspects: - Evaluation and metrics - Datasets - Theoretical aspects of conversational recommender systems # Submissions We invite three kinds of submissions, which address novel issues in Knowledge-aware and Conversational Recommender Systems: * **Long Papers** should report on substantial contributions of lasting value. **The Long papers must have a length of a minimum of 6 and a maximum of 8 pages (plus an unlimited number of pages for references)**. * **Short/Demo Papers** typically discuss exciting new work that is not yet mature enough for a long paper. In particular, novel but significant proposals will be considered for acceptance in this category despite not having gone through sufficient experimental validation or lacking a strong theoretical foundation. Applications of recommender systems to novel areas are especially welcome. **The Short/Demo papers must have a length of a minimum of 3 and a maximum of 5 pages (plus an unlimited number of pages for references)**. * **Position/Discussion Papers** describe novel and innovative ideas. Position papers may also comprise an analysis of currently unsolved problems, or review these problems from a new perspective, in order to contribute to a better understanding of these problems in the research community. We expect that such papers will guide future research by highlighting critical assumptions, motivating the difficulty of a certain problem, or explaining why current techniques are not sufficient, possibly corroborated by quantitative and qualitative arguments. **The Position/Discussion papers must have a length of a minimum of 2 and a maximum of 3 pages (plus an unlimited number of pages for references)**. Papers may range from theoretical works to system descriptions. We particularly encourage Ph.D. students or Early-Stage Researchers to submit their research. We also welcome contributions from the industry and papers describing ongoing funded projects which may result useful to the Knowledge-aware and Conversational Recommender Systems community. Submission will be peer-reviewed and accepted papers will appear in the **workshop proceedings** (CEUR workshop series). The review process is **single-blind**. Submitted papers will be evaluated according to their originality, technical content, style, clarity, and relevance to the workshop. Long and short/demo paper submissions must be original work and may not be under submission to another venue at the time of review. Each accepted long or short paper will be included in the CEUR online Workshop proceedings and presented in a plenary session as part of the Workshop program. Original position/discussion accepted papers will be included in the CEUR online Workshop proceedings. Selected position/discussion papers will be invited as oral presentations. Submissions of full research papers must be in English, in PDF format in the **CEUR-WS two-column conference format** available as compressed archive (http://ceur-ws.org/Vol-XXX/CEURART.zip) or as Overleaf template (https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-w…). Papers must be submitted through EasyChair (https://easychair.org/conferences/?conf=recsys2024workshops) by selecting the track "KaRS: Sixth Knowledge-aware and Conversational Recommender Systems Workshop". # Important Dates * **Paper submissions deadline**: August 30th, 2024 * **Paper acceptance notification**: September 16th, 2024 * **Camera-ready deadline**: September 30th, 2024 * **Workshop day**: October 14th-18th, 2024 Deadlines refer to 23:59 (11:59 pm) in the AoE (Anywhere on Earth) time zone. Informativa Privacy - Ai sensi del Regolamento (UE) 2016/679 si precisa che le informazioni contenute in questo messaggio sono riservate e ad uso esclusivo del destinatario. Qualora il messaggio in parola Le fosse pervenuto per errore, La preghiamo di eliminarlo senza copiarlo e di non inoltrarlo a terzi, dandocene gentilmente comunicazione. Grazie. Privacy Information - This message, for the Regulation (UE) 2016/679, may contain confidential and/or privileged information. If you are not the addressee or authorized to receive this for the addressee, you must not use, copy, disclose or take any action based on this message or any information herein. If you have received this message in error, please advise the sender immediately by reply e-mail and delete this message. Thank you for your cooperation.

9 months, 1 week

1
0
0 0

[CfP] [CoKA] : --- Final Call --- "Conceptual Knowledge Acquisition: Challenges, Opportunities, and Use Cases" workshop at CONCEPTS 2024

by Tom Hanika

***CoKA: --- Final Call --- Call for Contributions*** DEADLINE EXTENDED TO: *August 7th, 2024* (23:59 AoE) ================================================================ Conceptual Knowledge Acquisition: Challenges, Opportunities, and Use Cases Workshop at the 1st International Joint Conference on Conceptual Knowledge Structures (CONCEPTS 2024) September 9–13 2024, Cádiz, Spain Workshop Website: https://www.kde.cs.uni-kassel.de/coka/ Conference website: https://concepts2024.uca.es ================================================================ Formal concept analysis (FCA) can help make sense of data and the underlying domain --- provided the data is not too big, not too noisy, representative of the domain, and if there is data in the first place. What if you don’t have such data readily available but are prepared to invest in collecting it and have access to domain experts or other reliable queryable sources of information? Conceptual exploration comes to the rescue! Conceptual exploration is a family of knowledge-acquisition techniques within FCA. The goal is to build a complete implicational theory of a domain (with respect to a fixed language) by posing queries to a domain expert. When properly implemented, it is a great tool that can help organize the process of scientific discovery. Unfortunately, proper implementations are scarce and success stories of using conceptual exploration are somewhat rare and limited in scope. With this workshop, we intend to analyze the situation and, maybe, find a solution. If - you succeeded in acquiring new knowledge about or building a satisfying conceptual representation of some domain with conceptual exploration before; - you attempted conceptual exploration in application to your problem but failed miserably; - you want to use conceptual exploration to analyze some domain, but you don’t know where and how to start; - you are aware of alternatives to conceptual exploration; then come to the workshop to share your experiences, insights, ideas, and concerns with us! ================== Keywords and Topics ================== Knowledge Acquisition and Capture Conceptual Exploration Design Patterns and Paradigmatic Examples successful use cases and real-world applications challenges and lessons learned application principles missing theoretical foundations missing technical infrastructure integration with other theories and technologies ========================= Duration, Format, and Dates ========================= We invite contributions in the form of an extended abstract of up to two pages. In addition, supplementary material, such as data sets, detailed descriptions, or visualizations, may be submitted. The workshop is planned for half a day within the conference dates and at the same venue. It will consist of several short presentations each followed by a plenary discussion. Please send your contributions until *August 7th, 2024* (23:59 AoE) to tom.hanika(a)uni-hildesheim.de. If you are not sure whether your contribution matches the topics or the format of the workshop, you are welcome to contact the organizers prior to submitting the abstract. An acceptance notification will be sent within two weeks upon receiving the submission. =================== Workshop Organizers =================== - Tom Hanika, University of Hildesheim - Sergei Obiedkov, TU Dresden - Bernhard Ganter, Ernst-Schröder-Zentrum, Darmstadt -- Dr. Tom Hanika Universität Kassel Tel.: +49 (0) 561 804 6252 https://www.kde.cs.uni-kassel.de/hanika ---------------------------------------------------------------------

9 months, 2 weeks

1
0
0 0

LAST CFP for KoDis/CAKR 2024, the Joint Workshop on Knowledge Diversity and Cognitive Aspects of KR (colocated with KR 2024) - DEADLINE: 17.07.2024

by Lucia Gomez Alvarez

CALL FOR PAPERS Joint Workshop on Knowledge Diversity and Cognitive Aspects of KR (KoDis/CAKR) ============================================================================== Co-located with the 21st International Conference on Principles of Knowledge Representation and Reasoning (KR 2024), November 2 – 8, 2024 in Hanoi, Vietnam This workshop is the joint continuation of the previous Workshop on Cognitive Aspects of KR (CAKR) and of the Workshop on Knowledge Diversity (KoDis). In view of the partial overlap of topics and target audience, we organise the KoDis and CAKR workshops jointly this year. Website: https://kodis-cakr24.krportal.org/ Important Dates: ---------------- All dates are given Anywhere on Earth (AoE). - Papers due: July 17, 2024 - Notification to authors: August 21, 2024 - Camera-ready version due: September 18, 2024 - Workshop date: November 2, 3, or 4, 2024 Overview: --------- The KoDis workshop intends to create a space of confluence and a forum for discussion for researchers interested in knowledge diversity in a wide sense, including diversity in terms of diverging perspectives, different beliefs, semantic heterogeneity and others. The importance of understanding and handling the different forms of diversity that manifest between knowledge formalisations (ontologies, knowledge bases, or knowledge graphs) is widely recognised and has led to the proposal of a variety of systems of representation, tackling overlapping aspects of this phenomenon. Besides understanding the phenomenon and considering formal models for the representation of knowledge diversity, we are interested in the variety of reasoning problems that emerge in this context, including joint reasoning with possibly conflicting sources, interpreting knowledge from alternative viewpoints, consolidating the diversity as uncertainty, reasoning by means of argumentation between the sources and pursuing knowledge aggregations among others. A non-exhaustive list of topics of interest for the KoDis workshop is given below. - Philosophical and cognitive analysis of knowledge diversity. - Formal models for the representation of knowledge diversity. - Ontological approaches capturing multiple perspectives and viewpoints. - Context and concept formation in such systems. - Consistency (or not) in multi-perspective systems; assessment and mitigation of inconsistencies. - Communication between knowledge-diverse systems. - Argumentation-based approaches for dealing with inconsistency. - Aggregation of diverse or inconsistent knowledge; judgement aggregation. - Uncertainty in the context of knowledge diversity. - Applications of formal models of knowledge diversity. The CAKR workshop deals with cognitively adequate approaches to knowledge representation and reasoning. Knowledge representation is a lively and well-established field of AI, where knowledge and belief are represented declaratively and suitable for machine processing. It is often claimed that this declarative nature makes knowledge representation cognitively more adequate than e.g. sub-symbolic approaches, such as machine learning. This cognitive adequacy has important ramifications for the explainability of approaches in knowledge representation, which in turn is essential for the trustworthiness of these approaches. However, exactly how cognitive adequacy is ensured has often been left implicit, and connections with cognitive science and psychology are only recently being taken up. The goal of the CAKR workshop is to bring together experts from fields including artificial intelligence, psychology, cognitive science and philosophy to discuss important questions related to cognitive aspects of knowledge representation, such as: - How can we study the cognitive adequacy of approaches in AI? - Are declarative approaches cognitively more adequate than other approaches in AI? - What is the connection between cognitive adequacy and explanatory potential? - How to develop benchmarks for studying cognitive aspects of AI? - Which results from psychology are relevant for AI? - What is the role of the normative-descriptive distinction in current developments in AI? Call for Papers: --------------- We invite both long and short papers, as well as reports on recently published papers in reputed venues. Submissions will be peer-reviewed to ensure quality and relevance to the workshop. At least one author of each accepted paper will be required to attend the workshop to present the contribution. Submissions should be of one of the following types: - long papers reporting unpublished research (10–12 pages excluding references), - short papers reporting unpublished research (5–6 pages excluding references), or - extended abstracts (up to 3 pages including references) presenting work relevant to the workshop already published in other conferences or journals. Such an abstract should summarize the contributions of the article and its relevance for the workshop, as well as include bibliographic details of the article and a link to the article. Publication: ----------- We plan to publish informal proceedings in the CEUR Workshop Proceedings. Organizing Committee: --------------------- Lucía Gómez Alvarez, Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LIG, F-38000 Grenoble, France Jonas Haldimann, FernUniversität in Hagen, Germany Jesse Heyninck, OpenUniversiteit, the Netherlands; University of Cape Town and CAIR, South Africa Srdjan Vesic, CRIL CNRS Univ. Artois, France

9 months, 3 weeks

1
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ESAO Webinar n.11 on Tuesday July 9th, 2024 16:30 CEST –- Panel: Applied Ontologies in the the Neuro-symbolic Age -- Call for Participation

by Cassia TROJAHN

Dear all, The Educational Series on Applied Ontology (ESAO) [1] is open for everyone and welcomes students, researchers and practitioners alike. The 11th ESAO webinar will be held on Tuesday, July 9, 2024 at 16:30 CET, together with FOIS 2024 online. --------------------------- When and how to connect Tuesday July 9th, 2024 16:30 CEST Duration: 90 minutes Video conference (via Zoom) : => Requires *free* registration to FOIS online [2] --------------------------- Program Title: Applied Ontologies in the the Neuro-symbolic Age 10:30-12:00 EDT / 14:30-16:00 UTC / 16:30-18:00 CEST / 16:30-18:00 SAST / 11:30-13:00 UTC-3 Panelists: Pascal Hitzler (Kansas State University), Pawel Garbacz (The John Paul II Catholic University of Lublin), Fabian Neuhaus (Otto von Guericke University Magdeburg), Luciano Serafini (Fondazione Bruno Kessler), John Beverley (University of Buffalo) Moderator: Mehwish Alam (Télécom Paris, Institut Polytechnique de Paris, France) Abstract: In the evolving landscape of AI, the panel on "Applied Ontologies in the Age of Neuro-Symbolic AI" will discuss the integration of symbolic AI (based on knowledge representation and formal logic) and statistical (based on artificial neural networks). The aim is to cover a broader overview on the topic, definitions, impact on research in both statistical and symbolic AI (and in other fields), and future perspectives. See details [3]. Best regards Cassia Trojahn, Frank Loebe, Laure Vieu On behalf of the IAOA Education Committee [1] https://wiki.iaoa.org/index.php/Edu:ESAO [2] https://www.utwente.nl/en/eemcs/fois2024/registration/online-registration/ [3] https://www.utwente.nl/en/eemcs/fois2024/program/panels/?

9 months, 3 weeks

1
0
0 0

2nd CfP - OM-2024: The 19th International Workshop on Ontology Matching collocated with ISWC2024

by Huanyu Li

*****We apologize for possible cross-posting***** *************** Second Call for Papers *************** The 19th International Workshop on ONTOLOGY MATCHING (OM-2024) http://om.ontologymatching.org/2024/ November 11th or 12th, 2024, International Semantic Web Conference (ISWC) Workshop Program, Live! Casino & Hotel Maryland, Baltimore, USA. BRIEF DESCRIPTION AND OBJECTIVES Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful technique in some classical data integration tasks dealing with the semantic heterogeneity problem. It takes ontologies as input and determines as output an alignment, that is, a set of correspondences between the semantically related entities of those ontologies. These correspondences can be used for various tasks, such as ontology merging, data interlinking, query answering or navigation over knowledge graphs. Thus, matching ontologies enables the knowledge and data expressed with the matched ontologies to interoperate. The workshop has three goals: 1. To bring together leaders from academia, industry and user institutions to assess how academic advances are addressing real-world requirements. The workshop will strive to improve academic awareness of industrial and final user needs, and therefore, direct research towards those needs. Simultaneously, the workshop will serve to inform industry and user representatives about existing research efforts that may meet their requirements. The workshop will also investigate how the ontology matching technology is going to evolve, especially with respect to data interlinking, knowledge graph and web table matching tasks. 2. To conduct an extensive and rigorous evaluation of ontology matching and instance matching (link discovery) approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2024 campaign: http://oaei.ontologymatching.org/2024/ 3. To examine similarities and differences from other, old, new and emerging, techniques and usages, such as web table matching or knowledge embeddings. TOPICS of interest include but are not limited to: Business and use cases for matching (e.g., big, open, closed data); Requirements to matching from specific application scenarios; Formal foundations and frameworks for matching; Novel matching methods, including link prediction, ontology-based access; Matching and knowledge graphs; Matching and deep learning; Matching and embeddings; Matching and big data; Matching and linked data; Instance matching, data interlinking and relations between them; Privacy-aware matching; Process model matching; Large-scale and efficient matching techniques; Matcher selection, combination and tuning; User involvement (including both technical and organizational aspects); Explanations in matching; Social and collaborative matching; Uncertainty in matching; Expressive alignments; Reasoning with alignments; Alignment coherence and debugging; Alignment management; FAIR (Findable, Accessible, Interoperable and Reusable) alignments; Matching for traditional applications (e.g., data science); Matching for emerging applications (e.g., web tables, knowledge graphs). SUBMISSIONS Contributions to the workshop can be made in terms of technical papers and posters/statements of interest addressing different issues of ontology matching as well as participating in the OAEI 2024 campaign. Long technical papers should be of max. 12 pages. Short technical papers should be of max. 6 pages. Posters/statements of interest should not exceed 3 pages. All contributions have to be prepared using the CEUR-ART, 1-column style. Overleaf page for LaTeX users is available at https://www.overleaf.com/read/gwhxnqcghhdt, while offline version with the style files is available from http://ceur-ws.org/Vol-XXX/CEURART.zip. Submissions should be uploaded in PDF format through the workshop submission site at: https://www.easychair.org/conferences/?conf=om2024 Contributors to the OAEI 2024 campaign have to follow the campaign conditions and schedule at http://oaei.ontologymatching.org/2024/. DATES FOR TECHNICAL PAPERS AND POSTERS: August 9th, 2024: Deadline for the submission of papers. August 30th, 2024: Deadline for the notification of acceptance/rejection. September 9th, 2024: Workshop camera ready copy submission. November 11th or 12th, 2024: OM-2024, Live! Casino & Hotel Maryland, Baltimore, USA. Contributions will be refereed by the Program Committee. Accepted papers will be published in the workshop proceedings as a volume of CEUR-WS as well as indexed on DBLP. ORGANIZING COMMITTEE 1. Pavel Shvaiko Trentino Digitale, Italy 2. Jérôme Euzenat INRIA & Univ. Grenoble Alpes, France 3. Ernesto Jiménez-Ruiz City, University of London, UK & SIRIUS, University of Oslo, Norway 4. Oktie Hassanzadeh IBM Research, USA 5. Cássia Trojahn IRIT, France 6. Sven Hertling FIZ Karlsruhe, Germany 7. Huanyu Li Linköping University, Sweden PROGRAM COMMITTEE (to be added soon). ------------------------------------------------------- More about ontology matching: http://www.ontologymatching.org/ http://book.ontologymatching.org/ -------------------------------------------------------

9 months, 3 weeks

1
0
0 0

[CfP] [CoKA] : --- 2nd Call --- "Conceptual Knowledge Acquisition: Challenges, Opportunities, and Use Cases" workshop at CONCEPTS 2024

by Tom Hanika

***CoKA: --- 2nd Call --- Call for Contributions*** ================================================================ Conceptual Knowledge Acquisition: Challenges, Opportunities, and Use Cases Workshop at the 1st International Joint Conference on Conceptual Knowledge Structures (CONCEPTS 2024) September 9–13 2024, Cádiz, Spain Workshop Website: https://www.kde.cs.uni-kassel.de/coka/ Conference website: https://concepts2024.uca.es ================================================================ Formal concept analysis (FCA) can help make sense of data and the underlying domain --- provided the data is not too big, not too noisy, representative of the domain, and if there is data in the first place. What if you don’t have such data readily available but are prepared to invest in collecting it and have access to domain experts or other reliable queryable sources of information? Conceptual exploration comes to the rescue! Conceptual exploration is a family of knowledge-acquisition techniques within FCA. The goal is to build a complete implicational theory of a domain (with respect to a fixed language) by posing queries to a domain expert. When properly implemented, it is a great tool that can help organize the process of scientific discovery. Unfortunately, proper implementations are scarce and success stories of using conceptual exploration are somewhat rare and limited in scope. With this workshop, we intend to analyze the situation and, maybe, find a solution. If - you succeeded in acquiring new knowledge about or building a satisfying conceptual representation of some domain with conceptual exploration before; - you attempted conceptual exploration in application to your problem but failed miserably; - you want to use conceptual exploration to analyze some domain, but you don’t know where and how to start; - you are aware of alternatives to conceptual exploration; then come to the workshop to share your experiences, insights, ideas, and concerns with us! ================== Keywords and Topics ================== Knowledge Acquisition and Capture Conceptual Exploration Design Patterns and Paradigmatic Examples successful use cases and real-world applications challenges and lessons learned application principles missing theoretical foundations missing technical infrastructure integration with other theories and technologies ========================= Duration, Format, and Dates ========================= We invite contributions in the form of an extended abstract of up to two pages. In addition, supplementary material, such as data sets, detailed descriptions, or visualizations, may be submitted. The workshop is planned for half a day within the conference dates and at the same venue. It will consist of several short presentations each followed by a plenary discussion. Please send your contributions until *July 10, 2024* to tom.hanika(a)uni-hildesheim.de. If you are not sure whether your contribution matches the topics or the format of the workshop, you are welcome to contact the organizers prior to submitting the abstract. An acceptance notification will be sent within two weeks upon receiving the submission. =================== Workshop Organizers =================== - Tom Hanika, University of Hildesheim - Sergei Obiedkov, TU Dresden - Bernhard Ganter, Ernst-Schröder-Zentrum, Darmstadt -- Dr. Tom Hanika Universität Kassel Tel.: +49 (0) 561 804 6252 https://www.kde.cs.uni-kassel.de/hanika ---------------------------------------------------------------------

10 months, 1 week

1
0
0 0

XVI Madrid UPM Machine Learning and Advanced Statistics Summer School (June 17th - June 28th, 2024) - Early registration deadline

by mlas＠fi.upm.es

Dear colleagues, We would like to remind you that early registration for the Madrid UPM Machine Learning and Advanced Statistics summer school finishes on May, 27th (included). The summer school will be held in Boadilla del Monte, near Madrid, from June 17th to June 28th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/MLAS There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whomever you think may find it interesting. Best regards, Pedro Larrañaga, Concha Bielza, Bojan Mihaljević and Laura Gonzalez Veiga. -- School coordinators. *** List of courses and brief description *** # Week 1 (June 17th - June 21st, 2024) ## 1st session: 9:45-12:45 ### Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: R. ### Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. ## 2nd session: 13:45-16:45 ### Course 3: Supervised Classification (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: python. ### Course 4: Statistical Inference (15 h) Introduction. Some basic statistical tests. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. ## 3rd session: 17:00 - 20:00 ### Course 5: Deep Learning (15 h) Introduction. Learning algorithms. Learning in deep networks. Deep Learning for Computer Vision. Deep Learning for Language. Practical session: Python notebooks with Google Colab with keras, Pytorch and Hugging Face Transformers. ### Course 6: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. # Week 2 (June 24th - June 28th, 2024) ## 1st session: 9:45-12:45 ### Course 7: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and python. ### Course 8: Clustering (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advice. Practical session: R. ## 2nd session: 13:45-16:45 ### Course 9: Gaussian Processes and Bayesian Optimization (15 h) Introduction to Gaussian processes. Sparse Gaussian processes. Deep Gaussian processes. Introduction to Bayesian optimization. Bayesian optimization in complex scenarios. Practical demonstration: python using GPytorch and BOTorch. ### Course 10: Explainable Machine Learning (15 h) Introduction. Inherently interpretable models. Post-hoc interpretation of black box models. Basics of causal inference. Beyond tabular and i.i.d. data. Other topics. Practical demonstration: Python with Google Colab. ## 3rd session: 17:00-20:00 ### Course 11: SVMs, Kernel Methods and Regularized Learning (15 h) Regularized learning. Kernel methods. SVM models. SVM learning algorithms. Practical session: Python Anaconda with scikit-learn. ### Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK.

11 months

1
0
0 0

CFP for KoDis/CAKR 2024, the Joint Workshop on Knowledge Diversity and Cognitive Aspects of KR (colocated with KR 2024) - Paper deadline: 17.06.2024

by Lucia Gomez Alvarez

CALL FOR PAPERS Joint Workshop on Knowledge Diversity and Cognitive Aspects of KR (KoDis/CAKR) ============================================================================== Co-located with the 21st International Conference on Principles of Knowledge Representation and Reasoning (KR 2024), November 2 – 8, 2024 in Hanoi, Vietnam This workshop is the joint continuation of the previous Workshop on Cognitive Aspects of KR (CAKR) and of the Workshop on Knowledge Diversity (KoDis). In view of the partial overlap of topics and target audience, we organise the KoDis and CAKR workshops jointly this year. Website: https://kodis-cakr24.krportal.org/ Important Dates: ---------------- All dates are given Anywhere on Earth (AoE). - Papers due: July 17, 2024 - Notification to authors: August 21, 2024 - Camera-ready version due: September 18, 2024 - Workshop date: November 2, 3, or 4, 2024 Overview: --------- The KoDis workshop intends to create a space of confluence and a forum for discussion for researchers interested in knowledge diversity in a wide sense, including diversity in terms of diverging perspectives, different beliefs, semantic heterogeneity and others. The importance of understanding and handling the different forms of diversity that manifest between knowledge formalisations (ontologies, knowledge bases, or knowledge graphs) is widely recognised and has led to the proposal of a variety of systems of representation, tackling overlapping aspects of this phenomenon. Besides understanding the phenomenon and considering formal models for the representation of knowledge diversity, we are interested in the variety of reasoning problems that emerge in this context, including joint reasoning with possibly conflicting sources, interpreting knowledge from alternative viewpoints, consolidating the diversity as uncertainty, reasoning by means of argumentation between the sources and pursuing knowledge aggregations among others. A non-exhaustive list of topics of interest for the KoDis workshop is given below. - Philosophical and cognitive analysis of knowledge diversity. - Formal models for the representation of knowledge diversity. - Ontological approaches capturing multiple perspectives and viewpoints. - Context and concept formation in such systems. - Consistency (or not) in multi-perspective systems; assessment and mitigation of inconsistencies. - Communication between knowledge-diverse systems. - Argumentation-based approaches for dealing with inconsistency. - Aggregation of diverse or inconsistent knowledge; judgement aggregation. - Uncertainty in the context of knowledge diversity. - Applications of formal models of knowledge diversity. The CAKR workshop deals with cognitively adequate approaches to knowledge representation and reasoning. Knowledge representation is a lively and well-established field of AI, where knowledge and belief are represented declaratively and suitable for machine processing. It is often claimed that this declarative nature makes knowledge representation cognitively more adequate than e.g. sub-symbolic approaches, such as machine learning. This cognitive adequacy has important ramifications for the explainability of approaches in knowledge representation, which in turn is essential for the trustworthiness of these approaches. However, exactly how cognitive adequacy is ensured has often been left implicit, and connections with cognitive science and psychology are only recently being taken up. The goal of the CAKR workshop is to bring together experts from fields including artificial intelligence, psychology, cognitive science and philosophy to discuss important questions related to cognitive aspects of knowledge representation, such as: - How can we study the cognitive adequacy of approaches in AI? - Are declarative approaches cognitively more adequate than other approaches in AI? - What is the connection between cognitive adequacy and explanatory potential? - How to develop benchmarks for studying cognitive aspects of AI? - Which results from psychology are relevant for AI? - What is the role of the normative-descriptive distinction in current developments in AI? Call for Papers: --------------- We invite both long and short papers, as well as reports on recently published papers in reputed venues. Submissions will be peer-reviewed to ensure quality and relevance to the workshop. At least one author of each accepted paper will be required to attend the workshop to present the contribution. Submissions should be of one of the following types: - long papers reporting unpublished research (10–12 pages excluding references), - short papers reporting unpublished research (5–6 pages excluding references), or - extended abstracts (up to 3 pages including references) presenting work relevant to the workshop already published in other conferences or journals. Such an abstract should summarize the contributions of the article and its relevance for the workshop, as well as include bibliographic details of the article and a link to the article. Publication: ----------- We plan to publish informal proceedings in the CEUR Workshop Proceedings. Organizing Committee: --------------------- Lucía Gómez Alvarez, Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LIG, F-38000 Grenoble, France Jonas Haldimann, FernUniversität in Hagen, Germany Jesse Heyninck, OpenUniversiteit, the Netherlands; University of Cape Town and CAIR, South Africa Srdjan Vesic, CRIL CNRS Univ. Artois, France

11 months, 1 week

1
0
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XVI Madrid UPM Machine Learning and Advanced Statistics Summer School (June 17th - June 28th, 2024) - Early registration reminder

by mlas＠fi.upm.es

Dear colleagues, We would like to remind you that early registration for the Madrid UPM Machine Learning and Advanced Statistics summer school is open until June 2nd (included). The summer school will be held in Boadilla del Monte, near Madrid, from June 19th to June 30th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/MLAS There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whomever you think may find it interesting. Best regards, Pedro Larrañaga, Concha Bielza, Bojan Mihaljević and Laura Gonzalez Veiga. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 19th - June 23rd, 2023) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: R. Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Classification (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: python. Course 4: Statistical Inference (15 h) Introduction. Some basic statistical tests. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Learning algorithms. Learning in deep networks. Deep Learning for Images. Deep Learning for Text. Practical session: Jupyter notebooks in Python Anaconda with keras and tensorflow. Course 6: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. * Week 2 (June 26th - June 30th, 2023) * 1st session: 9:45-12:45 Course 7: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and python. Course 8: Clustering (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advice. Practical session: R. 2nd session: 13:45-16:45 Course 9: Gaussian Processes and Bayesian Optimization (15 h) Introduction to Gaussian processes. Sparse Gaussian processes. Deep Gaussian processes. Introduction to Bayesian optimization. Bayesian optimization in complex scenarios. Practical demonstration: python using GPytorch and BOTorch. Course 10: Explainable Machine Learning (15 h) Introduction. Inherently interpretable models. Post-hoc interpretation of black box models. Basics of causal inference. Model-specific explanations: Bayesian networks. Other topics. Practical demonstration: R. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Regularized Learning (15 h) Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization with proximal methods. Practical session: Python Anaconda with scikit-learn. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK. If you wish to stop receiving emails regarding the Madrid UPM Machine Learning and Advanced Statistics summer school, please reply to this email with the title STOP. Dear colleagues, We would like to remind you that early registration for the Madrid UPM Machine Learning and Advanced Statistics summer school is open until May, 27th (included). The summer school will be held in Boadilla del Monte, near Madrid, from June 17th to June 28th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/MLAS There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whomever you think may find it interesting. Best regards, Pedro Larrañaga, Concha Bielza, Bojan Mihaljević and Laura Gonzalez Veiga. -- School coordinators. *** List of courses and brief description *** # Week 1 (June 17th - June 23rd, 2024) ## 1st session: 9:45-12:45 ### Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: R. ### Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. ## 2nd session: 13:45-16:45 ### Course 3: Supervised Classification (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: python. ### Course 4: Statistical Inference (15 h) Introduction. Some basic statistical tests. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. ## 3rd session: 17:00 - 20:00 ### Course 5: Deep Learning (15 h) Introduction. Learning algorithms. Learning in deep networks. Deep Learning for Computer Vision. Deep Learning for Language. Practical session: Python notebooks with Google Colab with keras, Pytorch and Hugging Face Transformers. ### Course 6: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. # Week 2 (June 26th - June 28th, 2024) ## 1st session: 9:45-12:45 ### Course 7: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and python. ### Course 8: Clustering (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advice. Practical session: R. ## 2nd session: 13:45-16:45 ### Course 9: Gaussian Processes and Bayesian Optimization (15 h) Introduction to Gaussian processes. Sparse Gaussian processes. Deep Gaussian processes. Introduction to Bayesian optimization. Bayesian optimization in complex scenarios. Practical demonstration: python using GPytorch and BOTorch. ### Course 10: Explainable Machine Learning (15 h) Introduction. Inherently interpretable models. Post-hoc interpretation of black box models. Basics of causal inference. Beyond tabular and i.i.d. data. Other topics. Practical demonstration: Python with Google Colab. ## 3rd session: 17:00-20:00 ### Course 11: SVMs, Kernel Methods and Regularized Learning (15 h) Regularized learning. Kernel methods. SVM models. SVM learning algorithms. Practical session: Python Anaconda with scikit-learn. ### Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK.

11 months, 3 weeks

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EXTENDED Deadline: CfP - Demystifying machine learning for population researchers

by MPIDR - Career

EXTENDED DEADLINE: May 15, 2024 Advances in computational power and statistical algorithms, in conjunction with the increasing availability of large datasets, have led to a Cambrian explosion of machine learning (ML) methods. For population researchers, these methods are useful not only for predicting population dynamics but also as tools to improve causal inference tasks. However, the rapid evolution of this literature, coupled with terminological disparities from conventional approaches, renders these methods enigmatic and arduous for many population researchers to grasp. This workshop on November 5 to 6, 2024 at the Max Planck Intsitute for Demographic Research (MPIDR) in Rostock, Germany, clarifies the goals, techniques, and applications of machine learning methods for population research. The workshop covers * an introduction to ML methods for population researchers, * showcases of ML applications to answer causal questions, * discussions of the current developments of ML for population health, fertility and family dynamics, and * fosters critical discussions about the shortfalls of these techniques. The main focus of this workshop is on ML techniques using quantitative population data and research questions, not on ML language models. The workshop consists of keynotes, contributed sessions, and a tutorial. One keynote lecture will be delivered by Prof. Ian Lundberg (Cornell University, https://www.ianlundberg.org/). Prof. Jennie E. Brand (UCLA, https://www.profjenniebrand.com/) will deliver an online talk. This in-person workshop will take place in November 5-6 at the Max Planck Institute for Demographic Research in Rostock. We invite population researchers with interest in ML applications. We aim to receive contributions from different fields of population sciences, such as population health, formal and social demography, public health and economics, among others. We invite submission of original research abstract with relevance to ML and population sciences (max 500 words) and a CV (max. one page) to MLworkshop(a)demogr.mpg.de<mailto:MLworkshop@demogr.mpg.de>. Submission Deadline: May 15, 2024 Decisions on the selection will be communicated before May 31. Please direct any questions to MLworkshop(a)demogr.mpg.de<mailto:MLworkshop@demogr.mpg.de>. Organization committee: Angela Carollo, Aapo Hiilamo, Mikko Myrskyla. The workshop has no fees. Participants are expected to cover their travel and accommodation but limited financial support, offered on a competitive basis, is available for junior scientists or scientists from low-middle income countries. Please indicate the request for such funding at the time of abstract submission. The workshop is organized by the Max Planck Institute for Demographic Research and The Max Planck - University of Helsinki Center for Social Inequalities in Population Health. -- This mail has been sent through the MPI for Demographic Research. Should you receive a mail that is apparently from a MPI user without this text displayed, then the address has most likely been faked. If you are uncertain about the validity of this message, please check the mail header or ask your system administrator for assistance.

11 months, 3 weeks

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LAST Call for Extended Abstracts for CONCEPTS 2024

by IPCABRERA＠uma.es

Call for Extended Abstracts CONCEPTS 2024 1st International Joint Conference on Conceptual Knowledge Structures 28th Intl. Conf. on Conceptual Structures (ICCS) 18th Intl. Conf. on Formal Concept Analysis (ICFCA) 17th Intl. Conf. on Concept Lattices and their Applications (CLA) September 9–13 2024, Cádiz, Spain Website: https://concepts2024.uca.es <https://concepts2024.uca.es/> Email contact address: concepts24(a)lists.cs.uni-kassel.de <mailto:concepts24@lists.cs.uni-kassel.de> The 1st International Joint Conference on Conceptual Knowledge Structures (CONCEPTS) is a merger of the three conferences CLA, ICCS, and ICFCA, which have been essential venues for researchers and practitioners working on theoretical and applied aspects of formal concept analysis and representation of conceptual knowledge, as well as closely related areas, such as data mining, information retrieval, knowledge management and discovery. This new conference aims to continue the tradition and standards of previous conferences and become a key annual meeting to take along all members of the three communities of CLA, ICCS, and ICFCA and to keep abreast of the advances and new challenges in the field. Main topics include but are not limited to - Formal concept analysis: concept lattices, implications, algorithms and computational complexity - Conceptual graphs, graph-based models for human reasoning - Knowledge spaces and learning spaces - Ontologies, semantic web, knowledge graphs - Conceptual structures in natural language processing and linguistics - Conceptual knowledge acquisition and management - Conceptual knowledge discovery, data analysis, and visualization - Probabilistic approaches to conceptual knowledge representation and knowledge discovery - Approximation techniques in application to conceptual structures - Bridging conceptual structures to information sciences, artificial intelligence, data mining, machine learning, information retrieval, database theory, software engineering, and other areas of computer science - Understanding real-world data and modeling real-world phenomena with conceptual structures With this call, we invite the authors of recently published papers (in 2023 or 2024) relevant to the conference to submit extended abstracts (up to 2 pages) of these papers. If accepted, the authors will have an opportunity to present their work at the conference on par with regular submissions and have the abstract included in the CONCEPTS 2024 Book of Abstracts. We will consider abstracts of papers published in a Scopus-indexed journal or presented at a CORE-ranked conference in 2023 or 2024. Papers from previous editions of CONCEPTS 2024 ancestor conferences (CLA, ICCS, and ICFCA) are not eligible. Please upload your submissions of up to two pages at https://equinocs.springernature.com/service/CONCEPTS2024 <https://equinocs.springernature.com/service/CONCEPTS2024>. Please select the category for your submitted manuscript as “Extended abstract”. (the categories “regular paper” or “short paper” are no longer available). Please format your submissions according to Springer’s style: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… <https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…> Please include a reference to the paper on which the abstract is based. If possible, please indicate a link to the online version of the paper or submit the paper or its draft version together with the abstract. Submission deadline: May 20, 2024 (extended deadline) Notification of acceptance: May 31, 2024 Organization: General and Conference Chair: Jesús Medina, University of Cádiz, Spain Program Chairs: Inma P. Cabrera, University of Málaga, Spain Sébastien Ferré, University of Rennes, France Sergei Obiedkov, TU Dresden, Germany Local organizer Committee: María José Benítez Caballero, University of Cádiz, Spain Fernando Chacón-Gómez, University of Cádiz, Spain Samuel José Molina Ruiz, University of Cádiz, Spain Francisco José Ocaña Alcázar, University of Cádiz, Spain Executive Board: Jaume Baixeries, Polytechnic University of Catalonia, Spain Radim Belohlavek, Palacký University Olomouc, Czech Republic Tanya Braun, University of Münster, Germany Madalina Croitoru, University of Montpellier, France Sébastien Ferré, University of Rennes, France Sergei Kuznetsov, HSE University, Moscow, Russia Rokia Missaoui, Université du Québec en Outaouais, Canada Amedeo Napoli, LORIA, Nancy, France Sergei Obiedkov, TU Dresden, Germany Manuel Ojeda-Aciego, University of Malaga, Spain Uta Priss, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany Gerd Stumme, University of Kassel, Germany Program Committee: Cristina Alcalde, University of Basque Country, Spain Alexandre Bazin, LIRMM, Montpellier, France Sadok Ben Yahia, Tallinn University of Technology, Estonia Karell Bertet, La Rochelle University, France Peggy Cellier, IRISA/INSA Rennes, France Pablo Cordero, University of Málaga, Spain Maria Eugenia Cornejo Piñero, University of Cádiz, Spain Miguel Couceiro, University of Lorraine, France Christophe Demko, La Rochelle University, France Xavier Dolques, Université de Strasbourg, France Bernhard Ganter, Ernst-Schröder--Zentrum für Begriffliche Wissensverarbeitung e.V., Darmstadt, Germany Mohamed Hamza Ibrahim, University of Quebec in Outaouais, Canada Tom Hanika, University of Kassel, Germany Dmitry Ignatov, HSE University, Moscow, Russia Jan Konecny, Palace University Olomouc, Czech Republic Francesco Kriegel, TU Dresden, Germany Markus Krötzsch, TU Dresden, Germany Leonard Kwuida, Bern University of Applied Sciences, Switzerland Florence Le Ber, University of Strasbourg, France Domingo López-Rodríguez, University of Málaga, Spain Pierre Martin, University of Montpellier, France Jesús Medina, University of Cádiz, Spain Engelbert Mephu Nguifo, University Clermont Auvergne, France Jan Outrata, Palacký University Olomouc, Czech Republic Eloisa Ramírez-Poussa, University of Cádiz, Spain Sebastian Rudolph, TU Dresden, Germany Christian Sacarea, Babes-Bolyai University, Romania Baris Sertkaya, Frankfurt University of Applied Sciences, Germany Henry Soldano, Université Paris 13, France Martín Trnecka, Palacky University Olomouc, Czech Republic Petko Valtchev, Université du Québec à Montréal, Canada Francisco J. Valverde-Albacete, Rey Juan Carlos University, Spain We look forward to meeting you in Cádiz. Please, feel free to contact us for any further information. Sincerely yours, Inma P. Cabrera, Sébastien Ferré, Sergei Obiedkov. CONCEPTS 2024 Program chairs.

11 months, 3 weeks

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Call for Extended Abstracts for CONCEPTS 2024

by ipcabrera＠uma.es

Call for Extended Abstracts CONCEPTS 2024 1st International Joint Conference on Conceptual Knowledge Structures 28th Intl. Conf. on Conceptual Structures (ICCS) 18th Intl. Conf. on Formal Concept Analysis (ICFCA) 17th Intl. Conf. on Concept Lattices and their Applications (CLA) September 9–13 2024, Cádiz, Spain Website: https://concepts2024.uca.es Email contact address: concepts24(a)lists.cs.uni-kassel.de The 1st International Joint Conference on Conceptual Knowledge Structures (CONCEPTS) is a merger of the three conferences CLA, ICCS, and ICFCA, which have been essential venues for researchers and practitioners working on theoretical and applied aspects of formal concept analysis and representation of conceptual knowledge, as well as closely related areas, such as data mining, information retrieval, knowledge management and discovery. This new conference aims to continue the tradition and standards of previous conferences and become a key annual meeting to take along all members of the three communities of CLA, ICCS, and ICFCA and to keep abreast of the advances and new challenges in the field. Main topics include but are not limited to - Formal concept analysis: concept lattices, implications, algorithms and computational complexity - Conceptual graphs, graph-based models for human reasoning - Knowledge spaces and learning spaces - Ontologies, semantic web, knowledge graphs - Conceptual structures in natural language processing and linguistics - Conceptual knowledge acquisition and management - Conceptual knowledge discovery, data analysis, and visualization - Probabilistic approaches to conceptual knowledge representation and knowledge discovery - Approximation techniques in application to conceptual structures - Bridging conceptual structures to information sciences, artificial intelligence, data mining, machine learning, information retrieval, database theory, software engineering, and other areas of computer science - Understanding real-world data and modeling real-world phenomena with conceptual structures With this call, we invite the authors of recently published papers (in 2023 or 2024) relevant to the conference to submit extended abstracts (up to 2 pages) of these papers. If accepted, the authors will have an opportunity to present their work at the conference on par with regular submissions and have the abstract included in the CONCEPTS 2024 Book of Abstracts. We will consider abstracts of papers published in a Scopus-indexed journal or presented at a CORE-ranked conference in 2023 or 2024. Papers from previous editions of CONCEPTS 2024 ancestor conferences (CLA, ICCS, and ICFCA) are not eligible. Please upload your submissions of up to two pages at https://equinocs.springernature.com/service/CONCEPTS2024 <https://equinocs.springernature.com/service/CONCEPTS2024>. Please select the category for your submitted manuscript as “Extended abstract”. (the categories “regular paper” or “short paper” are no longer available). Please format your submissions according to Springer’s style: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… Please include a reference to the paper on which the abstract is based. If possible, please indicate a link to the online version of the paper or submit the paper or its draft version together with the abstract. Submission deadline: May 3, 2024 Notification of acceptance: May 31, 2024 Organization: General and Conference Chair: Jesús Medina, University of Cádiz, Spain Program Chairs: Inma P. Cabrera, University of Málaga, Spain Sébastien Ferré, University of Rennes, France Sergei Obiedkov, TU Dresden, Germany Local organizer Committee: María José Benítez Caballero, University of Cádiz, Spain Fernando Chacón-Gómez, University of Cádiz, Spain Samuel José Molina Ruiz, University of Cádiz, Spain Francisco José Ocaña Alcázar, University of Cádiz, Spain Executive Board: Jaume Baixeries, Polytechnic University of Catalonia, Spain Radim Belohlavek, Palacký University Olomouc, Czech Republic Tanya Braun, University of Münster, Germany Madalina Croitoru, University of Montpellier, France Sébastien Ferré, University of Rennes, France Sergei Kuznetsov, HSE University, Moscow, Russia Rokia Missaoui, Université du Québec en Outaouais, Canada Amedeo Napoli, LORIA, Nancy, France Sergei Obiedkov, TU Dresden, Germany Manuel Ojeda-Aciego, University of Malaga, Spain Uta Priss, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany Gerd Stumme, University of Kassel, Germany Program Committee: Cristina Alcalde, University of Basque Country, Spain Alexandre Bazin, LIRMM, Montpellier, France Sadok Ben Yahia, Tallinn University of Technology, Estonia Karell Bertet, La Rochelle University, France Peggy Cellier, IRISA/INSA Rennes, France Pablo Cordero, University of Málaga, Spain Maria Eugenia Cornejo Piñero, University of Cádiz, Spain Miguel Couceiro, University of Lorraine, France Christophe Demko, La Rochelle University, France Xavier Dolques, Université de Strasbourg, France Bernhard Ganter, Ernst-Schröder--Zentrum für Begriffliche Wissensverarbeitung e.V., Darmstadt, Germany Mohamed Hamza Ibrahim, University of Quebec in Outaouais, Canada Tom Hanika, University of Kassel, Germany Dmitry Ignatov, HSE University, Moscow, Russia Jan Konecny, Palace University Olomouc, Czech Republic Francesco Kriegel, TU Dresden, Germany Markus Krötzsch, TU Dresden, Germany Leonard Kwuida, Bern University of Applied Sciences, Switzerland Florence Le Ber, University of Strasbourg, France Domingo López-Rodríguez, University of Málaga, Spain Pierre Martin, University of Montpellier, France Jesús Medina, University of Cádiz, Spain Engelbert Mephu Nguifo, University Clermont Auvergne, France Jan Outrata, Palacký University Olomouc, Czech Republic Eloisa Ramírez-Poussa, University of Cádiz, Spain Sebastian Rudolph, TU Dresden, Germany Christian Sacarea, Babes-Bolyai University, Romania Baris Sertkaya, Frankfurt University of Applied Sciences, Germany Henry Soldano, Université Paris 13, France Martín Trnecka, Palacky University Olomouc, Czech Republic Petko Valtchev, Université du Québec à Montréal, Canada Francisco J. Valverde-Albacete, Rey Juan Carlos University, Spain

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