February 2024 - fca-list - lists.cs.uni-kassel.de

3rd CFP CONCEPTS 2024 - Cádiz (Spain)

by Sebastien Ferre

/* Apologies if you received multiple copies of this CFP./ / / /* Please kindly forward to those who may be interested./ *1st International Joint Conference on Conceptual Knowledge Structures* *Cádiz (Spain) - September**, 9th-13th, 2024 * *http://concepts2024.uca.es/* <https://concepts2024.uca.es/> * *** 3rd Call for Papers *** 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 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 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, 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 17, 2024 (AoE) - Paper reviews sent to authors: May 3, 2024 - Revised submission: June 3, 2024 - Notification of acceptance: June 30, 2024 Manuscripts must be submitted via the International Journal of Approximate Reasoningonline submission system (Editorial Manager®): https://www2.cloud.editorialmanager.com/ija/default2.aspx <https://www2.cloud.editorialmanager.com/ija/default2.aspx> Please select the article type “VSI: CONCEPTS 2024” when submitting your manuscript online. Please refer to the Guide for Authorsto prepare your manuscript: https://www.elsevier.com/journals/international-journal-of-approximate-reas… <https://www.elsevier.com/journals/international-journal-of-approximate-reas…> See also LaTeX instructions: https://www.elsevier.com/researcher/author/policies-and-guidelines/latex-in… <https://www.elsevier.com/researcher/author/policies-and-guidelines/latex-in…>. ***Regular and short papers*** - Abstract submission: March 18, 2024 (AoE) - Full paper submission: March 25, 2024 (AoE) - Notification of acceptance: May 15, 2024 - Camera-ready papers due: May 30, 2024 Submission link: https://equinocs.springernature.com/service/CONCEPTS2024 <https://equinocs.springernature.com/service/CONCEPTS2024>. Please select the appropriate category for your submitted manuscript, “regular paper” or “short paper”. Please visit the page 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:_ 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:_ Alexandre Bazin, LIRMM, Montpellier, France Karell Bertet, La Rochelle University, France 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 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 Francesco Kriegel, TU Dresden, Germany Markus Krötzsch, TU Dresden, Germany Leonard Kwuida, Bern University of Applied Sciences, Switzerland 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 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 Petko Valtchev, Université du Québec à Montréal, Canada * 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*

4 months, 4 weeks

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[FOIS2024][CfP] FOIS 2024 deadline extension main track: final deadline submission: 04 March 2024 (AoE)

by Cassia TROJAHN

(Apologies for cross postings) [FOIS2024][CfP] FOIS 2024 deadline extension main track NEWS: - final deadline submission: 04 March 2024 (AoE) - abstracts were not mandatory on 26 February 2024 (AoE)!!! ============================ 14th International Conference on Formal Ontology in Information Systems (FOIS 2024) 15-19 July 2024 (Enschede, Netherlands) - 08-09 July 2024 (online) Website: https://www.utwente.nl/en/eemcs/fois2024/ Paper submission deadline (extended): 04 March 2024 (AoE) ============================ **Definition & scope** The FOIS conference is a meeting point for all researchers interested in formal ontology. Formal ontology is the systematic study of the types of entities and relations comprising the domains of interest represented in modern information systems. The conference encourages the submission of high-quality, not previously published results on both theoretical issues and practical advancements. FOIS 2024 will have distinct tracks for foundational issues, ontology applications and methods, and domain ontologies. FOIS is the flagship conference of the International Association for Ontology and its Applications (IAOA), a non-profit organization promoting interdisciplinary research and international collaboration in formal ontology. FOIS 2024 will be held both online and in Enschede, the Netherlands, by the Semantics, Cybersecurity & Services group of the University of Twente. **Important dates** Paper submission deadline (extended): 04 March 2024 (AoE) Notifications: 15 April 2024 Virtual conference: 8-9 July 2024 Onsite conference: 15-19 July 2024 Camera-ready papers: 30 July 2024 **Submission types** FOIS 2024 seeks three types of full-length (14 pages) high-quality papers on a wide range of topics: * Foundational papers address content-related ontological issues, their formal representation, and their relevance to some aspect of information systems. * Application and Methods papers address novel systems, methods, and tools related to building, evaluating, or using ontologies, emphasizing the impact of ontology contents. * Domain ontology papers describe a novel ontology for a specific realm of interest, clarifying ontological choices against requirements and foundational theory, and showing ontology use. For more information on the submission instructions, please visit: https://www.utwente.nl/en/eemcs/fois2024/calls/#submission-instructions As usual, the FOIS proceedings will be published by IOS Press. **Topics of interest** Foundational Issues: * Kinds of entities: particulars/universals, continuants/occurrents, abstracta/concreta, dependent entities/independent entities, natural objects/artifacts, events/processes * Formal relations: parthood, identity, connection, dependence, constitution, causality, subsumption, instantiation * Vagueness and granularity * Space, time, and change Methodological issues: * Top-level vs. domain-specific ontologies * Role of reference ontologies * Ontology similarity, integration, alignment, matching and entity reconciliation * Ontology modularity, patterns, and contextuality * Ontology evaluation, quality, reuse, adaptation, and evolution * Ontology compliance with FAIR principles * Formal comparison among ontologies * Relationship between conceptual modeling and ontologies * Relationship with cognition, language, semantics, and context * Connections between knowledge graphs and ontologies * Methodological issues in the applications of ontologies * Social issues, such as trust or bias, with respect to ontologies Applications: * Technical applications of ontologies, such as: * Semantic Web * Other areas of AI (Machine Learning, Explainable AI, Rules) * Qualitative modeling * Systems applications of ontologies, such as: * Ontology-driven information systems design * Ontology-based data access * Knowledge managementInformation retrieval * Computational linguistics * Metadata management * Domain applications of ontologies, such as: * Ontologies for business modeling * Ontologies for particular scientific disciplines (biology, chemistry, geography, physics, geoscience, cognitive sciences, linguistics, etc.) * Ontologies for engineering: shape, form and function, artifacts, manufacturing, design, architecture, etc. * Ontologies for the humanities: arts, cultural studies, history, literature, philosophy, etc. * Ontologies for the social sciences: economics, law, political science, anthropology, archeology, etc. * Ontologies for Open Science and dataset sharing Domain-specific ontologies: * Ontology of physical reality (matter, space, time, motion, etc.) * Ontology of biological reality (organisms, genes, proteins, cells, etc.) * Ontology of mental reality and agency (beliefs, intentions, emotions, perceptions, cognition, etc.) * Ontology of artifacts, functions, capacities and roles * Ontology of social reality (institutions, organizations, norms, social relationships, artistic expressions, etc.) **Organisation** General Chairs Giancarlo Guizzardi; University of Twente; The Netherlands Program Committee Chairs Cassia Trojahn, IRIT Université Toulouse 2, France Daniele Porello, University of Genova, Italy Local Organisation Chair Tiago Prince Sales, University of Twente, The Netherlands JOWO Chairs Claudenir M. Fonseca, University of Twente, The Netherlands Guendalina Righetti, Free University of Bozen-Bolzano, Italy Online Chairs Sergio de Cesare, University of Westminster, UK FAIR Chairs Luiz Olavo Bonino, University of Twente, The Netherlands Journal-first Chairs Emilio Sanfilippo, ISTC-CNR Laboratory for Applied Ontology, Italy Adrien Barton, IRIT & CNRS, France Ontology Showcase Chairs Laura Daniele, TNO, The Netherlands João Paulo A. Almeida, Federal University of Espírito Santo, Brazil Demonstration Chairs Pawel Garbacz, John Paul II Catholic University of Lublin, Poland Robert Pergl, Czech Technical University, Czech Republic Project Exhibition Chair Enrico Franconi, Free University of Bozen-Bolzano, Italy Paul Johannesson, Stockholm University, Sweden Industry Chairs Jan Voskuil, Taxonic, The Netherlands Mara Abel, Federal University of Rio Grande do Sul, Brazil Tutorial Chairs Chiara Ghidini, Fondazione Bruno Kessler, Italy Veruska Zamborlini, Federal University of Espírito Santo, Brazil Early Career Symposium Chairs Zubeida Dawood, Council for Scientific and Industrial Research, South Africa Pedro Paulo F. Barcelos, University of Twente, The Netherlands Publicity Chairs Mattia Fumagalli, Free University of Bozen-Bolzano, Italy Greta Adamo, Basque Centre for Climate Change, Spain Proceedings Chairs Pedro Paulo F. Barcelos, University of Twente, The Netherlands

4 months, 4 weeks

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CfWT- CONCEPTS2024. Deadline February 28, 2024

by Dominik Dürrschnabel

/* Apologies if you received multiple copies of this CFP./ /* Please kindly forward to those who may be interested./ *Call for Workshops and Tutorials* *1st International Joint Conference on Conceptual Knowledge Structures* *Cádiz (Spain) - September**, 9th-13th, 2024 * *https://* <https://urldefense.com/v3/__http:/iwann.uma.es/__;!!D9dNQwwGXtA!Tl9MNQGOCnm…>*concepts2024.uca.es* <https://concepts2024.uca.es/>*/* <https://urldefense.com/v3/__http:/iwann.uma.es/__;!!D9dNQwwGXtA!Tl9MNQGOCnm…> 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. *_Workshops and Tutorials_* We cordially invite you to submit proposals for both*workshops and tutorial* in current and emerging research lines in (or related to) the main topics of CONCEPTS (https://concepts2024.uca.es/cfp/). The workshops and tutorials provide an opportunity to discuss novel topics in an interactive atmosphere. They can concentrate in-depth on research topics, but can also be devoted to application issues. Proposals will be submitted by email to concepts2024(a)uca.es. Workshops and tutorials will be scheduled on September 9-10, 2024. *_Submissions _* Workshops and tutorials proposal: February 28, 2024. Notification of acceptance workshops and tutorials: March 4, 2024. __ *_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 *_Workshops and Tutorials chair_* Eloísa Ramírez Poussa, 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 You can find extended information on CONCEPTS24 web page: https://concepts2024.uca.es/ <https://urldefense.com/v3/__http:/iwann.uma.es/__;!!D9dNQwwGXtA!Tl9MNQGOCnm…> or contact us at concepts2024(a)uca.es. We look forward to meeting you in Cádiz. Please, feel free to contact us for any further information. Also, submissions for papers for the journal track (deadline on March 6) and the regular track (deadline on March 25) are still open. For more information, see the CONCEPTS website: https://concepts2024.uca.es/submissions/ Sincerely yours, *Eloísa Ramírez Poussa* *CONCEPTS 2024 Workshops and Tutorials chair.*

5 months

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CfP: 3rd Onto4FAIR Workshop at Semantics 2023 (deadline extension 21/07)

by Cassia TROJAHN

** With apologies for multiple posting ** -------------- Onto4FAIR Workshop at Semantics 2023 -------------- 3rd Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR), in conjunction with Semantics 2023, 20 September 2023, Leipzig, Germany This is a twin workshop proposal at both FOIS 2023 and Semantics 2023 conferences. The primary aim is to bring the gap between the scientific and the practitioner/industry sides, respectively, where we would take the greatest and latest advances in the state of the art to industry and bring back the practitioners' needs and challenges to the scientific community of figure out a solution. For more details please check the website: https://onto4fair.github.io/2023-semantics.html -------------- Presentation -------------- Making the resources produced by researchers fully reusable and understood requires specific efforts. The Findable, Accessible, Interoperable and Reusable (FAIR) principles were elaborated to address these issues, describing a set of requirements for resource reusability and interoperability. These principles have been gaining increasing attention in a range of different areas and applications. One the one hand, a key aspect is the ability of properly and semantically describing resources, in particular with the help of ontologies. On the other hand, ontologies themselves have to be compliant with the FAIR principles. The workshop has the following main goals: (i) to bring together leaders from academia, industry and user institutions to discuss the adoption of FAIR principles in research and real-world requirements. (ii) to serve to inform about existing research efforts that may meet their requirements. (iii) to investigate how the FAIR principles are supported by the use of ontologies that ideally are themselves FAIR. (iv) to discuss the challenges and perspectives in adopting FAIR principles. -------------- Workshop topics -------------- The topics of interest include, but are not limited to, the following: - schemes, ontologies and vocabulaires for FAIR data and metadata; - domain and cross-domain ontologies for FAIR data; - making vocabularies and ontologies FAIR; - alignment of schemes, vocabulaires and ontologies for FAIR; - data management for FAIR data; - best practices for implementing the FAIR principles; - FAIRification process and use cases; - metrics for FAIRness assessment; - provenance in FAIR environments; - FAIR principles and open science; - FAIR principles and linked open data; - FAIR in industry, scientific communities (life science, digital humanities, health, smart cities, etc.). -------------- Important dates -------------- - Workshop paper submission deadline: July 21, 2023 (extended) - Author notification: August 07, 2023 - Camera-ready version: August 28, 2023 -------------- Submissions -------------- - Full research papers: 12 pages (including references) - Short papers: 6 pages (including references) Submissions must be in PDF, formatted in the style of IOS Press template. -------------- Workshop Chairs -------------- - Cassia Trojahn, Institut de Recherche en Informatique de Toulouse, France - Luiz Olavo Bonino da Silva Santos, University of Twente and Leiden University Medical Center, the Netherlands - Giancarlo Guizzardi, University of Twente, the Netherlands - Clement Jonquet, French National Research Institute for Agriculture, Food and Environment, Mathematics, Informatics and STatistics for Environment and Agronomy research unit, Montpellier, France Best regards Cassia Trojahn

5 months

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Request for Comments: a repository for formal contexts

by Robert Jäschke

Dear friends of FCA, This mail got longer than anticipated. In short: I propose to create a repository of formal contexts with machine-readable metadata. You can find a initial draft here: https://github.com/fcatools/contexts The long story: Sometimes it would be helpful to have exemplary formal contexts readily available, for example, for illustrational purposes, for testing algorithms, for benchmarking, or for beginners to explore and learn FCA. However, I have not found a comprehensive repository of example formal contexts. I know that Uta Priss has some classic contexts on her web page (https://upriss.github.io/fca/examples.html) and some FCA tools have contexts for unit tests (e.g., https://github.com/tomhanika/conexp-clj/tree/dev/testing-data) but these are neither comprehensive nor easy to find, they have no machine-readable metadata, they are not integrated into FCA tools or libraries, and they are sometimes difficult to cite. What I would like to have for FCA is what popular data science libraries provide. For example, scikit-learn (https://scikit-learn.org/) has some basic datasets (https://scikit-learn.org/stable/datasets/toy_dataset.html) included which can be accessed with just one line of Python code: iris = datasets.load_iris() Similarly, Seaborn's load_dataset() method loads datasets from a git repository (https://github.com/mwaskom/seaborn-data). As there are many frequently-used exemplary formal contexts, I suggest to create a git-based repository which contains such contexts together with machine-readable metadata that describes them. I'd like to follow the KISS principle and not over-engineer the whole thing, that is, 1. Each context is just a file in a git repository (suitable file formats are open for discussion, IMHO at least CTX). 2. The metadata for each context is described in file that is machine-readable and human-editable. My impression is that a stripped-down version of YAML would be sufficient (that is, just hierarchical key-value pairs). An initial draft of such a repository can be found here: https://github.com/fcatools/contexts Using Git(Hub) has some benefits, for example, version control, a workflow for collaboration and contributions (forks, pull requests), a continous integration pipeline for the automatic generation of derivatives (e.g., human-readable documentation, statistics, lattice diagrams), simple programmatic access using HTTP, etc. (I am aware of research data repositories but I think they are not the best choice for what I have in mind. Still, snapshots of the git repo could regularly be published, e.g., on Zenodo, which supports GitHub.) The repository could easily be integrated into FCA workflows, tools, and libraries and could simplify the (re)use of FCA (data). Specifically, I'd like to support maintainers of FCA tools and libraries to integrate access to the repository such that getting a context is as simple as it is with other data in scikit-learn or Seaborn. With a bit more time and effort more would be possible, for example, a browseable repository of contexts like http://konect.cc/ provides for (social) networks. Next steps towards the abovementioned goals would be: 1. gather feedback from the community 2. develop a curation policy and metadata schema 2. collect contexts and metadata 4. reach out to authors of FCA tools and libraries I'd be very glad to get the discussion started and read your comments. Best regards, Robert Jäschke -- Prof. Dr. Robert Jäschke Humboldt-Universität zu Berlin < https://hu.berlin/RJ >>>>>>>>>>><<<<<<<<<<< +49 (0)30 2093-70960 > < https://weltliteratur.net/ >>>>><<<<< https://dev.bibsonomy.org/ >

5 months

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Third Call for Papers: Special issue on Ontology Matching and Machine Learning (Semantic Web Journal)

by Cassia TROJAHN

Special issue on Ontology Matching and Machine Learning https://www.semantic-web-journal.net/blog/special-issue-ontology-matching-a… ------------------- This special issue aims to discuss the latest research proposals and on the use of machine learning for ontology matching, data interlinking, and data integration in general. 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. While early approaches have addressed the use of machine learning, new deep learning and large language models have gained attention in the field, proving new ways of capturing the relationships between the entities of different ontologies. The special issue aims at providing a comprehensive view of the latest research advancements and inspire further research in this evolving area. We welcome original research papers that propose novel techniques, models, and frameworks for ontology matching, data interlink and data integration. ------------------- Themes and Topics ------------------- We are interested in (including but not limited to) the following themes and topics that study the application of deep learning and large language models in general: - Matching and deep learning - Matching and large language models - Learning in instance matching, data interlinking - Large-scale and efficient matching techniques - Matching and neuro-symbolic techniques - Matcher selection, combination and tuning - User involvement - Explanations in matching - Social and collaborative matching - Uncertainty in matching - Expressive alignments - Reasoning with alignments - Alignment coherence and debugging - Matching for emerging applications (e.g., web tables, knowledge graphs) - Benchmarks for machine learning oriented matching ------------------- Deadline ------------------- Submission deadline: 20th February 2024. Papers submitted before the deadline will be reviewed upon receipt. ------------------- Author Guidelines ------------------- We invite full papers, dataset descriptions, application reports and reports on tools and systems. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this special issue. Authors can extend previously published conference or workshop papers; guidelines for this can be found in FAQ 9. Submissions shall be made through the Semantic Web journal website at http://www.semantic-web-journal.net. Prospective authors must take notice of the submission guidelines posted at http://www.semantic-web-journal.net/authors. We welcome any submission type as described http://www.semantic-web-journal.net/authors#types. While there is no upper limit, paper length must be justified by content. Note that you need to request an account on the website for submitting a paper. Please indicate in the cover letter that it is for the "Ontology Matching and Machine Learning" special issue. All manuscripts will be reviewed based on the SWJ open and transparent review policy and will be made available online during the review process. Also note that the Semantic Web journal is open access and all submissions rely on an open and transparent review process (see FAQ 1). Finally please note that submissions must comply with the journal’s Open Science Data requirements, which are detailed in the corresponding blog post. ------------------- Guest Editors The guest editors can be reached at om-ml(a)googlegroups.com . ------------------- Cássia Trojahn, IRIT, France Sven Hertling, University of Mannheim, Germany Huanyu Li, Linköping University, Sweden Oktie Hassanzadeh, IBM Research, USA ------------------- Guest Editorial Board ------------------- Ernesto Jiménez-Ruiz, City, Univeristy of London, UK & SIRIUS, Univeristy of Oslo, Norway Pavel Shvaiko, Trentino Digitale, Italy Jérôme Euzenat, INRIA & Univ. Grenoble Alpes, France Vasilis Efthymiou, Harokopio University of Athens, Greece George Papadakis, National and Kapodistrian University of Athens, Greece Heiko Paulheim, University of Mannheim, Germany Catia Pesquita, Universidade de Lisboa, Portugal Pierre Monnin, Université Côte d’Azur, INRIA, France Alsayed Algergawy, University of Passau, Germany Yuan He, University of Oxford, United Kingdom Jiaoyan Chen, University of Oxford, United Kingdom Zhu Wang, University of Illinois, Chicago, USA Valentina Tamma, University of Liverpool United Kingdom Olivier Teste, Institut de Recherche en Informatique de Toulouse, France

5 months, 1 week

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CfP - HHAI 2024 [Extended Deadline] - The third International Conference on Hybrid Human-Artificial Intelligence

by Grootjen, Jesse

* We apologize if you receive multiple copies of this email * Call for Participation: HHAI2024 – The third International Conference on Hybrid Human-Artificial Intelligence June 10-14, 2024, Malmö, Sweden Call for Contributions to the Doctoral Consortium In this message, we shortened each call to their essentials – the full text of each call is available on the website: https://hhai-conference.org/2024/ The HHAI 2024 Doctoral Consortium (DC) will take place as part of the 3rd International Conference on Hybrid Human-Artificial Intelligence in June 2024, Malmö, Sweden. This forum will provide early as well as middle/late-stage PhD students in the field of Hybrid Intelligence focusing on the study of Artificial intelligence systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence. The Doctoral Consortium will take place in person at the HHAI 2024 conference. Important Dates All deadlines are 23:59 AoE (anywhere on Earth). - Submission Deadline: February 12th, 2024 - Reviews Released: March 18th, 2024 - Camera-ready Papers Due: April 18th, 2024 - Doctoral Consortium: June 11th, 2024 Proposals should be submitted via Easychair: https://easychair.org/conferences/?conf=hhai2024 Location HHAI 2024 will be an in-person, single-track conference, held in Malmö, Sweden on June 10-14, 2024. More information on the venue as well as travel information can be found on the website: https://hhai-conference.org/2024/ Contact information Conference chairs: Frank Dignum (Umeå University, SE), Fabian Lorig (Malmö University, SE), Jason Tucker (Malmö University, SE), and Adam Dahlgren Lindström (Umeå University, SE). Doctoral Consortium chairs: Passant El.Agroudy (DFKI, DE), Michiel van der Meer (Leiden University, NL) and Harko Verhagen (Stockholm University, SE) For questions, you can reach the doctoral consortium chairs at dc(a)hhai-conference.org<mailto:dc@hhai-conference.org> Kind regards, Julian Rasch & Jesse Grootjen Publicity and Social Media Chairs HHAI 2024 https://www.hhai-conference.org/

5 months, 2 weeks

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Text2Story@ECIR'24 Last Call for Papers

by Hugo Oliveira Sousa

*** Apologies for cross-posting *** ++ LAST CALL FOR PAPERS ++ **************************************************************************** Seventh International Workshop on Narrative Extraction from Texts (Text2Story'24) Held in conjunction with the 46th European Conference on Information Retrieval (ECIR'24) March 24th, 2024 – Glasgow, Scotland Website: https://text2story24.inesctec.pt<https://text2story24.inesctec.pt/> **************************************************************************** ++ Important Dates ++ - Submission Deadline: February 7th, 2024 - Acceptance Notification: March 1st, 2024 - Camera-ready copies: March 15th, 2024 - Workshop: March 24th, 2024 ++ Overview ++ Over these past years, significant breakthroughs, led by Transformers and Large Language Models (LLMs), have been made in understanding natural language text. However, the ability to capture, represent, and analyze contextual nuances in longer texts is still an elusive goal, let alone the understanding of consistent fine-grained narrative structures in text. In the seventh edition of the Text2Story workshop, we aim to bring to the forefront the challenges involved in understanding the structure of narratives and in incorporating their representation in well-established frameworks, as well as in modern architectures (e.g., transformers) and AI-powered language models (e.g, chatGPT) which are now common and form the backbone of almost every IR and NLP application. It is hoped that the workshop will provide a common forum to consolidate the multi-disciplinary efforts and foster discussions to identify the wide-ranging issues related to the narrative extraction task. ++ List of Topics ++ Research works submitted to the workshop should foster the scientific advance on all aspects of storyline generation and understanding from texts including but not limited to narrative information extraction aspects, narratives representation, knowledge extraction, ethics and bias in narratives, datasets and evaluation protocols and narrative applications such as visualization of narratives, multi-modal aspects, Q&A, etc. To this regard, we encourage the submission of high-quality and original submissions covering the following topics: Information Extraction Aspects * Temporal Relation Identification * Temporal Reasoning and Ordering of Events * Causal Relation Extraction and Arrangement * Big Data Applied to Narrative Extraction Narrative Representation * Annotation protocols * Narrative Representation Models * Lexical, Syntactic, and Semantic Ambiguity in Narrative Representation Narrative Analysis and Generation * Argumentation Analysis * Language Models and Transfer Learning in Narrative Analysis * Narrative Analysis in Low-resource Languages * Multilinguality: Multilingual and Cross-lingual Narrative Analysis * Comprehension of Generated Narratives * Story Evolution and Shift Detection * Automatic Timeline Generation Datasets and Evaluation Protocol * Evaluation Methodologies for Narrative Extraction * Annotated datasets * Narrative Resources Ethics and Bias in Narratives * Bias Detection and Removal in Generated Stories * Ethical and Fair Narrative Generation * Misinformation and Fact Checking Narrative Applications * Narrative-focused Search in Text Collections * Narrative Summarization * Narrative Q&A * Multi-modal Narrative Summarization * Sentiment and Opinion Detection in Narratives * Social Media Narratives * Narrative Simplification * Personalization and Recommendation of Narratives * Storyline Visualization ++ Dataset ++ We challenge the interested researchers to consider submitting a paper that makes use of the tls-covid19 dataset - published at ECIR'21 - under the scope and purposes of the text2story workshop. tls-covid19 consists of a number of curated topics related to the Covid-19 outbreak, with associated news articles from Portuguese and English news outlets and their respective reference timelines as gold-standard. While it was designed to support timeline summarization research tasks it can also be used for other tasks (e.g., Q&A), especially when combined with Large Language Models (LLMs) like ChatGPT. A script to reconstruct and expand the dataset is available at https://github.com/LIAAD/tls-covid19. The article itself is available at this link: https://link.springer.com/chapter/10.1007/978-3-030-72113-8_33 ++ Submission Guidelines ++ We solicit the following types of contributions: * Full papers up to 8 pages + references Original and high-quality unpublished contributions to the theory and practical aspects of the narrative extraction task. Full papers should introduce existing approaches, describe the methodology and the experiments conducted in detail. Negative result papers to highlight tested hypotheses that did not get the expected outcome are also welcomed. * Short papers up to 5 pages + references Unpublished short papers describing work in progress; position papers introducing a new point of view, a research vision or a reasoned opinion on the workshop topics; and dissemination papers describing project ideas, ongoing research lines, case studies or summarized versions of previously published papers in high-quality conferences/journals that is worthwhile sharing with the Text2Story community, but where novelty is not a fundamental issue. * Demos | Resource Papers up to 5 pages + references Unpublished papers presenting research/industrial demos; papers describing important resources (datasets or software packages) to the text2story community; Submissions will be peer-reviewed by at least two members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (indexed in Scopus and DBLP) as long as they don't conflict with previous publication rights. ++ Workshop Format ++ Participants of accepted papers will be given 15 minutes for oral presentations. ++ Invited Speakers ++ Homo narrans: From Information to Narratives Jochen L. Leidner<https://www.coburg-university.de/about-us/faculties/faculty-of-business-and…>, Coburg University of Applied Sciences, Germany Abstract: Humans are curious creatures, equipped with a sense of (and desire for) finding meaning in their environment. They are predisposed to identify patterns, real and spurious, in the world they live in, and above anything else, they understand the world in terms of narratives. In this talk, we will explore a set of questions about narratives: what is a narrative made up of? What signals from textual prose tell us what the narrative is? What about signals from structured data that imply a particular narrative? What is the essence of a story? How can narrative information be extracted and presented? Open source intelligence analysts and investigative reporters alike are hunting for the story, the narrative, behind the petabyte intercepts or terabyte leaks. The more data we gather or have available, the stronger will be our thirst to distill meaningful stories from it. Bio: Professor Jochen L. Leidner MA MPhil PhD FRGS is the Research Professor for Explainable and Responsible Artificial Intelligence in Insurance at Coburg University of Applied Sciences and Arts, Germany, where he leads the Information Access Research Group, a Visiting Professor of Data Analytics in the Department of Computer Science, University of Sheffield and founder and CEO of the consultancy KnowledgeSpaces. He is also a Fellow of the Royal Geographical Society. Dr. Leidner's experience includes positions as Director of Research at Thomson Reuters and Refinitiv in London, where he headed its R&D team (2013-2022). He has built up research and innovation teams. He was also the Royal Academy of Engineering Visiting Professor of Data Analytics at the Department of Computer Science. His background includes a Master's in computational linguistics, English and computer science (University of Erlangen-Nuremberg), a Master's in Computer Speech, Text and Internet Technology (University of Cambridge) and a PhD in Informatics (University of Edinburgh), which won the first ACM SIGIR Doctoral Consortium Award. He is a scientific expert for the European Commission (FP7, H2020, Horizon Europe) and other funding bodies in Germany, Austria, the UK and the USA. He also is a past chair of the Microsoft-BCS/BCS IRSG Karen Sparck Jones award. Professor Leidner is an author or co-author of several dozen peer-reviewed publications (including one best paper award), has authored or co-edited two books and holds several patents in the areas of information retrieval, natural language processing, and mobile computing. He has been twice winner of the Thomson Reuters inventor of the year award for the best patent application, and is the past received of a Royal Society of Edinburgh Enterprise Fellowship in Electronic Markets. Visual Storytelling with Question-Answer Plans Mirella Lapata, University of Edinburgh, Scotland Abstract: Visual storytelling aims to generate compelling narratives from image sequences. Existing models often focus on enhancing the representation of the image sequence, e.g., with external knowledge sources or advanced graph structures. Despite recent progress, the stories are often repetitive, illogical, and lacking in detail. To mitigate these issues, we present a novel framework which integrates visual representations with pretrained language models and planning. Our model translates the image sequence into a visual prefix, a sequence of continuous embeddings which language models can interpret. It also leverages a sequence of question-answer pairs as a blueprint plan for selecting salient visual concepts and determining how they should be assembled into a narrative. Automatic and human evaluation on the VIST benchmark (Huang et al., 2016) demonstrates that blueprint-based models generate stories that are more coherent, interesting, and natural compared to competitive baselines and state-of-the-art systems. Bio: Professor Mirella Lapata is a faculty member in the School of Informatics at the University of Edinburgh. She is affiliated with the Institute for Communicating and Collaborative Systems and the Edinburgh Natural Language Processing Group. Her research centers on computational models for the representation, extraction, and generation of semantic information from structured and unstructured data. This encompasses various modalities, including text, images, video, and large-scale knowledge bases. Prof. Lapata has contributed to diverse applied Natural Language Processing (NLP) tasks, such as semantic parsing, semantic role labeling, discourse coherence, summarization, text simplification, concept-to-text generation, and question answering. Using primarily probabilistic generative models, she has employed computational models to investigate aspects of human cognition, including learning concepts, judging similarity, forming perceptual representations, and learning word meanings. The overarching objective of her research is to empower computers to comprehend requests, execute actions based on them, process and aggregate large datasets, and convey information derived from them. Central to these endeavors are models designed for extracting and representing meaning from natural language text, internally storing meanings, and leveraging stored meanings to deduce further consequences. ++ Organizing committee ++ Ricardo Campos (INESC TEC; University of Beira Interior, Covilhã, Portugal) Alípio M. Jorge (INESC TEC; University of Porto, Portugal) Adam Jatowt (University of Innsbruck, Austria) Sumit Bhatia (Media and Data Science Research Lab, Adobe) Marina Litvak (Shamoon Academic College of Engineering, Israel) ++ Proceedings Chair ++ João Paulo Cordeiro (INESC TEC & Universidade da Beira do Interior) Conceição Rocha (INESC TEC) ++ Web and Dissemination Chair ++ Hugo Sousa (INESC TEC & University of Porto) Behrooz Mansouri (Rochester Institute of Technology) ++ Program Committee ++ Álvaro Figueira (INESC TEC & University of Porto) Andreas Spitz (University of Konstanz) Antoine Doucet (Université de La Rochelle) António Horta Branco (University of Lisbon) Anubhav Jangra (IIT Patna, Japan) Arian Pasquali (Faktion AI) Bart Gajderowicz (University of Toronto) Begoña Altuna (Universidad del País Vasco) Behrooz Mansouri (Rochester Institute of Technology) Brenda Santana (Federal University of Rio Grande do Sul) Bruno Martins (IST & INESC-ID, University of Lisbon) Brucce dos Santos (Computational Intelligence Laboratory (LABIC) - ICMC/USP) David Semedo (Universidade NOVA de Lisboa) Deya Banisakher (Florida International University) Dhruv Gupta (Norwegian University of Science and Technology) Evelin Amorim (INESC TEC) Henrique Lopes Cardoso (LIACC & University of Porto) Ignatius Ezeani (Lancaster University) Irina Rabaev (Shamoon College of Engineering) Ismail Altingovde (Middle East Technical University) João Paulo Cordeiro (INESC TEC & University of Beira Interior) Liana Ermakova (HCTI, Université de Bretagne Occidentale) Luca Cagliero (Politecnico di Torino) Ludovic Moncla (INSA Lyon) Luis Filipe Cunha (INESC TEC & University of Minho) Marc Finlayson (Florida International University) Marc Spaniol (Université de Caen Normandie) Mariana Caravanti (Computational Intelligence Laboratory (LABIC) - ICMC/USP) Moreno La Quatra (Kore University of Enna) Natalia Vanetik (Sami Shamoon College of Engineering) Nuno Guimarães (INESC TEC & University of Porto) Pablo Gervás (Universidad Complutense de Madrid) Paulo Quaresma (Universidade de Évora) Purificação Silvano (CLUP & University of Porto) Ross Purves (University of Zurich) Satya Almasian (Heidelberg University) Sérgio Nunes (INESC TEC & University of Porto) Sriharsh Bhyravajjula (University of Washington) Udo Kruschwitz (University of Regensburg) Valentina Bartalesi (ISTI-CNR, Italy) ++ Contacts ++ Website: https://text2story24.inesctec.pt<https://text2story24.inesctec.pt/> For general inquiries regarding the workshop, reach the organizers at: text2story2024(a)easychair.org<mailto:text2story2024@easychair.org>

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