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EXTENDED CfP: FoIKS 2024, 13th Int. Symp. on Foundations of Information and Knowledge Systems. Abstract deadline: 11.12.2023; Paper deadline: 14.12.2023

by Lucia Gomez Alvarez

*Call for Papers* 13th International Symposium on Foundations of Information and Knowledge Systems – FoIKS 2024 https://foiks2024.github.io/ Extended Deadlines ================ (Extended) Abstract submission deadline: 11.12.2023 AoE ("anywhere on earth") (Extended) Paper submission deadline: 14.12.2023 AoE ("anywhere on earth") Invited Speakers ============== * Georg Gottlob, University of Oxford * Phokion Kolaitis, University of California Santa Cruz and IBM Research * Andrei Popescu, University of Sheffield * Uli Sattler, University of Manchester About ============= The FoIKS symposia provide a biennial forum for presenting and discussing theoretical and applied research on information and knowledge systems. The goal is to bring together researchers with an interest in this subject, share research experiences, promote collaboration and identify new issues and directions for future research. FoIKS 2024 solicits original contributions (as well as extensions of previously published contributions) dealing with any foundational aspect of information and knowledge systems. This includes submissions that apply ideas, theories or methods from specific disciplines to information and knowledge systems. Examples of such disciplines are discrete mathematics, logic and algebra, model theory, information theory, (parameterized) complexity theory, algorithmics and computation, statistics, and optimisation, among, of course, many others. The FoIKS symposia are a forum for intensive discussions. Speakers will be given sufficient time to present their ideas and results within the larger context of their research. Furthermore, participants will be asked to prepare a first response to another contribution in order to initiate discussion. Suggested topics ============= The suggested topics include, but are not limited to: * Database Design: Formal models, dependencies and independencies * Big Data: Models for data in the Cloud, programming languages for big data, query processing * Dynamics of Information: Models of transactions, concurrency control, updates, consistency preservation, belief revision * Information Fusion: Heterogeneity, views, schema dominance, multiple source information merging, reasoning under inconsistency * Integrity and Constraint Management: Verification, validation, consistent query answering, information cleaning * Intelligent Agents: Multi-agent systems, autonomous agents, foundations of software agents, cooperative agents, formal models of interactions, negotiations and dialogue, logical models of emotions * Knowledge Discovery and Information Retrieval: Machine learning, data mining, formal concept analysis and association rules, text mining, information extraction * Knowledge Representation, Reasoning and Planning: Non-monotonic formalisms, probabilistic and non-probabilistic models of uncertainty, graphical models and independence, similarity-based reasoning, preference modeling and handling, computational models of argument, argumentation systems * Logics in Databases and AI: Classical and non-classical logics, logic programming, description logics, spatial and temporal logics, probability logic, fuzzy logic * Mathematical Foundations: Discrete structures and algorithms, graphs, grammars, automata, abstract machines, finite model theory, information theory, coding theory, (parameterised) complexity theory, randomness * Security in Information and Knowledge Systems: Identity theft, privacy, trust, intrusion detection, access control, inference control, secure Web services, secure Semantic Web, risk management * Semi-Structured Data and XML: Data modelling, data processing, data compression, data exchange * Social Computing: Collective intelligence and self-organizing knowledge, collaborative filtering, computational social choice, Boolean games, coalition formation, reputation systems * The Semantic Web and Knowledge Management: Languages, ontologies, agents, adaption, intelligent algorithms, ontology-based data access * The WWW: Models of Web databases, Web dynamics, Web services, Web transactions and negotiations, Social Networks, Web Mining Important Dates ================ All deadlines are at 23:59 UTC-12 (AoE, "anywhere on earth"). (Extended) Abstract submission deadline: 11.12.2023 (Extended) Paper submission deadline: 14.12.2023 Acceptance notifications: 29.01.2024 Camera-ready versions of accepted papers due: 08.02.2024 Early registration deadline: 08.03.2024 Late registration deadline: 01.04.2024 Conference: 8–11.04.2024 Submission Guidelines ==================== For long papers, the page limit is 16 plus additional pages of references. For short papers, the maximum number of pages is 10 plus additional pages of references. Missing proofs or details can be optionally added as an additional appendix read at the discretion of the program committee. All papers must be original and not simultaneously submitted to another journal or conference. Resubmission of papers rejected in major conferences (e.g., AAAI, ICDT, STACS) is welcome. Papers must be typeset using the Springer LaTeX2e style llncs for Lecture Notes in Computer Science (see https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… and https://resource-cms.springernature.com/springer-cms/rest/v1/content/192386…). Submissions that deviate substantially from these guidelines may be rejected without review. 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=foiks24. Publication ============= The proceedings will be published by Springer-Verlag in the Lecture Notes in Computer Science. After the symposium, authors of selected papers will be invited to submit extended journal versions of their papers for a FoIKS 2024 special issue in the journal Knowledge Engineering Review (https://www.cambridge.org/core/journals/knowledge-engineering-review). Further details will be provided on the conference website. Organisation ============= Program Committee Chairs: Arne Meier, Leibniz Universität Hannover, Germany Magdalena Ortiz, TU Wien, Austria and Umeå University, Sweden Local Chair: Jonni Virtema, University of Sheffield, UK Local Organisers: Timon Barlag, University of Sheffield, UK Mike Cruchten, University of Sheffield, UK Nina Pardal, University of Sheffield, UK Max Sandström, University of Sheffield, UK Publicity Chair: Lucía Gómez Álvarez, TU Dresden, DE Contact ============= All questions about submissions should be emailed to foiks24(a)easychair.org. https://foiks2024.github.io/ _________________________ Dr. Lucía Gómez Álvarez Computational Logic Group Institute for Artificial Intelligence Faculty of Computer Science TU Dresden GERMANY

4 days, 18 hours

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PostDoc position in Semantic Wev at IRISA (Rennes, France)

by Sebastien Ferre

Hello, The IRISA lab of University Rennes invites applications for the attached postdoctoral position. *Job title: *postdoc 24 months, starting January 2024 *Project*: MeKaNo (ANR), 2023-2026 *Research Lab*: IRISA, Rennes, France *Team*: LACODAM *Contact*: ferre(a)irisa.fr, peggy.cellier(a)irisa.fr *Keywords*: semantic web, knowledge graphs, query languages, microdata, user interaction *Context and Objectives*: In MeKaNo, we aim to search the web with "Things" (entities), in order to get more accurate results over a wide diversity of sources. Traditional web search engines search the web with strings. However, keyword search often returns many irrelevant documents, pushing users to refine their keyword list following a trial-and-error process. On the other hand, Knowledge Graphs (KG) like Wikidata [1] enable users to search for Things and facts, and to get exact answers. However, there may exist many answers on the web that are not part of the knowledge graph. Moreover, nowadays, many websites include entities and facts in the form of microdata [2], for which there is no query engine so far. In MeKaNo, we aim at combining the querying of knowledge graphs and microdata together in order to reconcile the accuracy of KG querying, and the diversity of web search. To search the web with Things, we face several scientific challenges. Among them, an important one is the definition of a query language that combines knowledge graph querying, web search, and microdata querying. Another challenge is to assist users in the building of such complex queries [3]. We already have an approach (Sparklis [4]) that assists users in knowledge graph querying. The objective of the postdoc is to extend this approach to include web search and microdata querying. *Requirements*: The candidate must hold a Ph.D in Computer Science, preferably in the field of the Semantic Web. Skills in query languages (SPARQL), language design, web programming are a plus. *Application method:* To apply send an email to sebastien.ferre(a)irisa.fr and peggy.cellier(a)irisa.fr with attached a single PDF containing: * Cover letter in which you describe your motivation and qualifications for the position. * Curriculum vitae, including a list of your publications and the contact information of references. *References*: 1. Vrandečić, D., & Krötzsch, M. (2014). Wikidata: a free collaborative knowledgebase. Communications of the ACM, 57(10), 78-85. 2. Meusel, Robert, Christian Bizer, and Heiko Paulheim (2015). "A web-scale study of the adoption and evolution of the schema. org vocabulary over time."Int. Conf. on Web Intelligence, Mining and Semantics. 3. G. Marchionini. Exploratory search: from finding to understanding. Communications of the ACM, 49(4):41–46, 2006. 4. Sébastien Ferré. "Sparklis: an expressive query builder for SPARQL endpoints with guidance in natural language." Semantic Web 8.3 (2017): 405-418.

1 week, 5 days

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FoIKS 2024, 13th International Symposium on Foundations of Information and Knowledge Systems, 8 - 11 April 2024, Sheffield (UK). Abstract deadline: 24th November 2023

by Lucia Gomez Alvarez

*Call for Papers* —---------------- 13th International Symposium on Foundations of Information and Knowledge Systems – FoIKS 2024 https://foiks2024.github.io/ Abstract submission deadline: 24.11.2023 Paper submission deadline: 01.12.2023 The FoIKS symposia provide a biennial forum for presenting and discussing theoretical and applied research on information and knowledge systems. The goal is to bring together researchers with an interest in this subject, share research experiences, promote collaboration and identify new issues and directions for future research. FoIKS 2024 solicits original contributions (as well as extensions of previously published contributions) dealing with any foundational aspect of information and knowledge systems. This includes submissions that apply ideas, theories or methods from specific disciplines to information and knowledge systems. Examples of such disciplines are discrete mathematics, logic and algebra, model theory, information theory, (parameterized) complexity theory, algorithmics and computation, statistics, and optimisation, among, of course, many others. The FoIKS symposia are a forum for intensive discussions. Speakers will be given sufficient time to present their ideas and results within the larger context of their research. Furthermore, participants will be asked to prepare a first response to another contribution in order to initiate discussion. Suggested topics —--------------- The suggested topics include, but are not limited to: * Database Design: Formal models, dependencies and independencies * Big Data: Models for data in the Cloud, programming languages for big data, query processing * Dynamics of Information: Models of transactions, concurrency control, updates, consistency preservation, belief revision * Information Fusion: Heterogeneity, views, schema dominance, multiple source information merging, reasoning under inconsistency * Integrity and Constraint Management: Verification, validation, consistent query answering, information cleaning * Intelligent Agents: Multi-agent systems, autonomous agents, foundations of software agents, cooperative agents, formal models of interactions, negotiations and dialogue, logical models of emotions * Knowledge Discovery and Information Retrieval: Machine learning, data mining, formal concept analysis and association rules, text mining, information extraction * Knowledge Representation, Reasoning and Planning: Non-monotonic formalisms, probabilistic and non-probabilistic models of uncertainty, graphical models and independence, similarity-based reasoning, preference modeling and handling, computational models of argument, argumentation systems * Logics in Databases and AI: Classical and non-classical logics, logic programming, description logics, spatial and temporal logics, probability logic, fuzzy logic * Mathematical Foundations: Discrete structures and algorithms, graphs, grammars, automata, abstract machines, finite model theory, information theory, coding theory, (parameterised) complexity theory, randomness * Security in Information and Knowledge Systems: Identity theft, privacy, trust, intrusion detection, access control, inference control, secure Web services, secure Semantic Web, risk management * Semi-Structured Data and XML: Data modelling, data processing, data compression, data exchange * Social Computing: Collective intelligence and self-organizing knowledge, collaborative filtering, computational social choice, Boolean games, coalition formation, reputation systems * The Semantic Web and Knowledge Management: Languages, ontologies, agents, adaption, intelligent algorithms, ontology-based data access * The WWW: Models of Web databases, Web dynamics, Web services, Web transactions and negotiations, Social Networks, Web Mining Invited Speakers —--------------- * Georg Gottlob, University of Oxford * Phokion Kolaitis, University of California Santa Cruz and IBM Research * Andrei Popescu, University of Sheffield * Uli Sattler, University of Manchester Important Dates —-------------- All deadlines are at 23:59 UTC-12 (AoE, "anywhere on earth"). Submission server opens 01.09.2023 Abstract submission deadline (long and short papers) 24.11.2023 Paper submission deadline (long and short papers) 01.12.2023 Acceptance notifications 29.01.2024 Camera-ready versions of accepted papers due 08.02.2024 Early registration deadline 08.03.2024 Late registration deadline 01.04.2024 Conference 8–11.04.2024 Submission Guidelines —-------------------- For long papers, the page limit is 16 plus additional pages of references. For short papers, the maximum number of pages is 10 plus additional pages of references. All papers must be original and not simultaneously submitted to another journal or conference. Papers must be typeset using the Springer LaTeX2e style llncs for Lecture Notes in Computer Science (see https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… and https://resource-cms.springernature.com/springer-cms/rest/v1/content/192386…). Submissions that deviate substantially from these guidelines may be rejected without review. 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=foiks24. Publication —---------- The proceedings will be published by Springer-Verlag in the Lecture Notes in Computer Science. After the symposium, authors of selected papers will be invited to submit extended journal versions of their papers for a FoIKS 2024 special issue in the journal Knowledge Engineering Review (https://www.cambridge.org/core/journals/knowledge-engineering-review). Further details will be provided on the conference website. Program Committee Chairs —----------------------- Arne Meier Leibniz Universität Hannover, Germany Magdalena Ortiz TU Wien, Austria and Umeå University, Sweden Local Chair —---------- Jonni Virtema University of Sheffield, UK Contact —------ All questions about submissions should be emailed to foiks24(a)easychair.org. https://foiks2024.github.io/ _________________________ Dr. Lucía Gómez Álvarez Computational Logic Group Institute for Artificial Intelligence Faculty of Computer Science TU Dresden GERMANY

3 weeks, 5 days

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First 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 langage 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, University of London, UK & SIRIUS, University of Oslo, Norway Pavel Shvaiko, Trentino Digitale, Italy Jérôme Euzenat, INRIA & Univ. Grenoble Alpes, France TO BE COMPLETED

1 month, 2 weeks

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CfP: FoIKS 2024, 13th International Symposium on Foundations of Information and Knowledge Systems, 8 - 11 April 2024, Sheffield (UK). Abstract deadline: 24th November 2023

by Lucia Gomez Alvarez

*Call for Papers* —---------------- 13th International Symposium on Foundations of Information and Knowledge Systems – FoIKS 2024 https://foiks2024.github.io/ Abstract submission deadline: 24.11.2023 Paper submission deadline: 01.12.2023 The FoIKS symposia provide a biennial forum for presenting and discussing theoretical and applied research on information and knowledge systems. The goal is to bring together researchers with an interest in this subject, share research experiences, promote collaboration and identify new issues and directions for future research. FoIKS 2024 solicits original contributions (as well as extensions of previously published contributions) dealing with any foundational aspect of information and knowledge systems. This includes submissions that apply ideas, theories or methods from specific disciplines to information and knowledge systems. Examples of such disciplines are discrete mathematics, logic and algebra, model theory, information theory, (parameterized) complexity theory, algorithmics and computation, statistics, and optimisation, among, of course, many others. The FoIKS symposia are a forum for intensive discussions. Speakers will be given sufficient time to present their ideas and results within the larger context of their research. Furthermore, participants will be asked to prepare a first response to another contribution in order to initiate discussion. Suggested topics —--------------- The suggested topics include, but are not limited to: * Database Design: Formal models, dependencies and independencies * Big Data: Models for data in the Cloud, programming languages for big data, query processing * Dynamics of Information: Models of transactions, concurrency control, updates, consistency preservation, belief revision * Information Fusion: Heterogeneity, views, schema dominance, multiple source information merging, reasoning under inconsistency * Integrity and Constraint Management: Verification, validation, consistent query answering, information cleaning * Intelligent Agents: Multi-agent systems, autonomous agents, foundations of software agents, cooperative agents, formal models of interactions, negotiations and dialogue, logical models of emotions * Knowledge Discovery and Information Retrieval: Machine learning, data mining, formal concept analysis and association rules, text mining, information extraction * Knowledge Representation, Reasoning and Planning: Non-monotonic formalisms, probabilistic and non-probabilistic models of uncertainty, graphical models and independence, similarity-based reasoning, preference modeling and handling, computational models of argument, argumentation systems * Logics in Databases and AI: Classical and non-classical logics, logic programming, description logics, spatial and temporal logics, probability logic, fuzzy logic * Mathematical Foundations: Discrete structures and algorithms, graphs, grammars, automata, abstract machines, finite model theory, information theory, coding theory, (parameterised) complexity theory, randomness * Security in Information and Knowledge Systems: Identity theft, privacy, trust, intrusion detection, access control, inference control, secure Web services, secure Semantic Web, risk management * Semi-Structured Data and XML: Data modelling, data processing, data compression, data exchange * Social Computing: Collective intelligence and self-organizing knowledge, collaborative filtering, computational social choice, Boolean games, coalition formation, reputation systems * The Semantic Web and Knowledge Management: Languages, ontologies, agents, adaption, intelligent algorithms, ontology-based data access * The WWW: Models of Web databases, Web dynamics, Web services, Web transactions and negotiations, Social Networks, Web Mining Invited Speakers —--------------- * Georg Gottlob, University of Oxford * Phokion Kolaitis, University of California Santa Cruz and IBM Research * Andrei Popescu, University of Sheffield * Uli Sattler, University of Manchester Important Dates —-------------- All deadlines are at 23:59 UTC-12 (AoE, "anywhere on earth"). Submission server opens 01.09.2023 Abstract submission deadline (long and short papers) 24.11.2023 Paper submission deadline (long and short papers) 01.12.2023 Acceptance notifications 29.01.2024 Camera-ready versions of accepted papers due 08.02.2024 Early registration deadline 08.03.2024 Late registration deadline 01.04.2024 Conference 8–11.04.2024 Submission Guidelines —-------------------- For long papers, the page limit is 16 plus additional pages of references. For short papers, the maximum number of pages is 10 plus additional pages of references. All papers must be original and not simultaneously submitted to another journal or conference. Papers must be typeset using the Springer LaTeX2e style llncs for Lecture Notes in Computer Science (see https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… and https://resource-cms.springernature.com/springer-cms/rest/v1/content/192386…). Submissions that deviate substantially from these guidelines may be rejected without review. 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=foiks24. Publication —---------- The proceedings will be published by Springer-Verlag in the Lecture Notes in Computer Science. After the symposium, authors of selected papers will be invited to submit extended journal versions of their papers for a FoIKS 2024 special issue in the journal Knowledge Engineering Review (https://www.cambridge.org/core/journals/knowledge-engineering-review). Further details will be provided on the conference website. Program Committee Chairs —----------------------- Arne Meier Leibniz Universität Hannover, Germany Magdalena Ortiz TU Wien, Austria and Umeå University, Sweden Local Chair —---------- Jonni Virtema University of Sheffield, UK Contact —------ All questions about submissions should be emailed to foiks24(a)easychair.org. https://foiks2024.github.io/ _________________________ Dr. Lucía Gómez Álvarez Computational Logic Group Institute for Artificial Intelligence Faculty of Computer Science TU Dresden GERMANY

1 month, 3 weeks

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FOIS 2023 Online: Call for Participation

by Lucia Gomez Alvarez

===== Call for Participation to online FOIS 2023 conference, showcases and demos ===== Program: https://fois2023.griis.ca/online-conference/ Registration: https://event.fourwaves.com/fr/fois2023/inscription (free registration for students) ==================================================================================== 13th International Conference on Formal Ontology in Information Systems (FOIS 2023) September 18-20, 2023 (Online) Definition and scope ==================== The FOIS conference is a meeting point for all researchers with an interest in formal ontology. Formal ontology is the systematic study of the types of entities and relations making up the domains of interest represented in modern information systems. FOIS 2023 will have distinct tracks for foundational issues, ontology applications and methods, and domain ontologies. FOIS aims to be a nexus of interdisciplinary research and communication for researchers from many domains engaging with formal ontology. Common application areas include conceptual modeling, database design, knowledge engineering and management, software engineering, organizational modeling, artificial intelligence, robotics, computational linguistics, the life sciences, bioinformatics and scientific research in general, geographic information science, information retrieval, library and information science, as well as the Semantic Web. FOIS is the flagship conference of the International Association for Ontology and its Applications (IAOA: http://iaoa.org/), which is a non-profit organization promoting interdisciplinary research and international collaboration in formal ontology. Program ==================== Monday September, 18th EDT (UTC -4) CEST (UTC +2) 08:15-08:30 14:15-14:30 FOIS online Welcome Zoom 08:30-10:30 14:30-16:30 Session 1: Foundational concepts (Chair: Laure Vieu) Zoom 10:30-11:00 16:30-17:00 Coffee break gather.town 11:00-12:00 17:00-18:00 Ontology showcases and demos gather.town Tuesday September, 19th 08:30-09:00 14:30-15:00 Invited talks special session (TBC) Zoom 09:00-10:30 15:00-16:30 Session 2: Methodological issues (Chair: TBA) Zoom 10:30-11:00 16:30-17:00 Coffee break gather.town 11:00-12:00 17:00-18:00 ESAO panel Zoom Wednesday September, 20th 09:00-10:30 15:00-16:30 Session 3: Domain ontologies (Chair: TBA) Zoom 10:30-11:00 16:30-17:00 Coffee break gather.town 11:00-12:00 17:00-18:00 IAOA General Assembly Zoom 12:00-12:15 18:00-18:15 Closing Zoom Details: https://fois2023.griis.ca/onlinesession/ Registration fees ==================== Online presenter: 500 CAN / 340 EUR Listener - regular fee (academia or industry): 100 CAN / 70 EUR Listener - reduced fee (student or participant from less developed country): free More information: https://fois2023.griis.ca/registration/ Conference Organization ======================= General Chair: Antony Galton, University of Exeter, UK PC Chairs: Nathalie Aussenac-Gilles, IRIT-CNRS Toulouse, France Torsten Hahmann, University of Maine, USA Local Organization Chair: Jean-François Ethier, University of Sherbrooke, Canada Online Chair: Cassia Trojahn, IRIT Université Toulouse 2, France Demo & Showcase Chairs: Sergio de Cesare, University of Westminster, UK Tiago Prince Sales, University of Twente, Netherlands Publicity Chairs: Lucia Gomez Alvarez, TU Dresden, Germany Selja Seppälä, University College Cork, Ireland Organization: https://fois2023.griis.ca/conference-organization/ _________________________ Dr. Lucía Gómez Álvarez Computational Logic Group Institute for Artificial Intelligence Faculty of Computer Science TU Dresden GERMANY

2 months, 3 weeks

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CfP - Ordinal Methods for Knowledge Representation and Capture (OrMeKR @ K-CAP 2023)

by Tom Hanika

***** 1st CALL FOR PAPERS*****: First international workshop on *Ordinal Methods for Knowledge Representation and Capture (OrMeKR)* in conjunction with *The Twelfth International Conference on Knowledge Capture (K-CAP 2023)* December 5th, 2023, Pensacola, Florida, USA *Submission Deadline: October 15th, 2023* 1.1 Abstract and Scope: ─────────────────────── The concept of order (i.e., partial ordered sets) is predominant for perceiving and organizing our physical and social environment, for inferring meaning and explanation from observation, and for searching and rectifying decisions. Compared to metric methods, however, the number of (purely) ordinal methods for capturing knowledge from data is rather small, although in principle they may allow for more comprehensible explanations. The reason for this could be the limited availability of computing resources in the last century, which would have been required for (purely) ordinal computations. Hence, typically relational and especially ordinal data are first embedded in metric spaces for learning. Therefore, in this workshop we want to collect and discuss ordinal methods for capturing and representing knowledge, their role in inference and explainability, and their possibilities for knowledge visualization and communication. We want to reflect on these topics in a broad sense, i.e., as a tool to arrange, compare and compute ontologies or concept hierarchies, as a feature in learning and capturing knowledge, and as a measure to evaluate model performance. 1.2 Topics of Interest ────────────────────── • Ordinal Aspects for Knowledge Representation and Knowledge Bases • Knowledge Visualization using Order Relations • Ordinal Representation and Analysis of Ontologies • Data Fidelity and Reliability of Ordinal Methods • Theory and Application of Order Dimension and Related Notions • Ordinal Knowledge Spaces and Ordinal Exploration • Scaling and Processing Ordinal Information • Metric Structures in Order Relations • Algorithms for querying Large Ordinal Data • Knowledge Discovery in metric-ordinal Heterogeneous Representation • Ordinal Pattern Structures and Motifs • Methods for Representation Learning of Order Relations • Drawing of Hierarchical Graphs and Knowledge Structures • Non-Linear Ranking in Recommendation Applications • Linear Ordered Knowledge and Learning • Scheduling and Planning • Applications of Ordinal Methods to Scientific Knowledge (e.g., from domains such as Biology, Physics, Social Sciences, Digital Humanities, etc.) • Methodologically Related Fields such as Directed Graphs, Formal Concept Analysis, Conceptual Structures, Relational Data, Recommendation, Lattice Theory, with a Clear Reference to Order Relations and Knowledge 1.3 Important Dates (all dates are AoE) ─────────────────────────────────────── • Submission: October 15, 2023 • Author Notification: October 29, 2023 • Camera Ready: November 12, 2023 1.4 Submission Guidlines and Conditions ─────────────────────────────────────── OrMeKR will focus on contributions to the theory and application of ordinal methods in the realm of knowledge representation and capture. The workshop welcomes *report papers* (summaries of past work concerning ordinal methods), *research papers* (novel results), *position papers* (discussing issues concerning the usefulness of ordinal methods in KR), and *challenge papers* (describing limitations and open research questions). • Submissions should have a minimum of 5 pages and shall not exceed 8 pages. • Submission must use the provided CEUR Template: <https://www.kde.cs.uni-kassel.de/ormekr2023/ceur.zip> • The workshop is not double-blind, hence authors should list their names and affiliations on the submission. • Accepted Papers will be published in CEUR Workshop Proceedings corresponding to K-CAP. • Authors of accepted workshop papers will present their work in plenary sessions during the workshop on December 5th. • Submissions should be emailed to: *[ormekr2023(a)cs.uni-kassel.de]* 1.5 Organizing Committee ──────────────────────── • Tom Hanika ⁃ Institute for Computer Science, University of Hildesheim, Germany ⁃ Berlin School of Library and Information Science, Humboldt-Universität zu Berlin, Germany • Dominik Dürrschnabel ⁃ Knowledge & Data Engineering Group, University of Kassel, Germany • Johannes Hirth ⁃ Knowledge & Data Engineering Group, University of Kassel, Germany 1.6 Program Committee ───────────────────── • Agnès Braud, Université de Strasbourg, France • Diana Christea, Babes-Bolyai University, Romania • Pablo Cordero, University of Malaga, Spain • Bernhard Ganter, TU Dresden, Germany • Rokia Missaoui, University of Quebec in Outaouais, Canada • Robert Jäschke, Humboldt-Universität zu Berlin, Germany • Giacomo Kahn, Université Lumière Lyon 2, France • Léonard Kwuida, Bern University of Applied Sciences, Switzerland • Sebastian Rudolph, TU Dresden, Germany • Gerd Stumme, University of Kassel, Germany • Francisco J. Valverde-Albacete, Universidad Rey Juan Carlos, Spain

3 months, 1 week

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Final call for papers for FOCI 2023

by Domingo

(apologies for cross-posting) Final Call for Papers Foundations of Computational Intelligence (FOCI 2023) The 2023 IEEE Symposium on Foundations of Computational Intelligence (FOCI 2023) will take place as part of the IEEE Symposium Series on Computational Intelligence (SSCI 2023), which is a flagship annual meeting organized by the IEEE Computational Intelligence Society. It serves as a primary forum for multidisciplinary research in computational intelligence. SSCI 2023 will be held in Mexico City from December 5th to 8th, 2023. The conference proceedings of the SSCI 2023 will be included in the IEEE Xplore and indexed by all major databases. IEEE FOCI’23 provides an ideal forum for those who are interested in the foundational issues of computational intelligence to exchange their ideas and present their latest findings. Participants of FOCI’23 will also benefit from the interaction at one location with the participants of several other symposia running concurrently at IEEE SSCI 2023, each highlighting various aspects of computational intelligence. As a whole, this international event will attract top researchers, practitioners, and students from around the world to discuss the latest advances in the field of computational intelligence. Topics 1. Fuzzy Logic: Non-standard fuzzy sets; Granular computing; Computing with words; Aggregation/fusion; Fuzzy sets and statistics; Uncertainty; Decision-making; General theoretical issues; Generalisation in neural, fuzzy and evolutionary learning; Fuzzy logic and fuzzy set theory; Lattice theory and multi-valued logic; Approximate reasoning; Type-2 fuzzy logic; Rough sets and random sets; Fuzzy mathematics; Fuzzy measure and integral; Possibility theory and imprecise probability 2. Neural Networks and other machine learning techniques: Neural computation; Self-organizing maps; Recurrent networks; Multilayer perceptrons; Deep Learning, convolutional neural networks, GANs.; Autoencoders; Evolutionary neural networks; Neural networks for pattern recognition; Neural netwoks for prediction and optimization; Neural networks for principal component analysis; General regression neural networks; Neural networks as/and fuzzy systems; Radial basis functions; Learning theory; Reinforcement learning; Generalization in neural networks 3. Evolutionary Computation: Theoretical foundations of bio-inspired heuristics; Exact and approximation runtime analysis; Fixed budget computations; Black box complexity; Self-adaptation; Population dynamics; Fitness landscape and problem difficulty analysis; No Free Lunch Theorems; Statistical approaches for understanding the behaviour of bio-inspired heuristics; Computational studies of a foundational nature 4. All bio-inspired search heuristics will be considered for all problem domains including: Combinatorial and continuous optimization; Single-objective and multi-objective optimization; Constraint handling; Dynamic and stochastic optimization; Co-evolution and evolutionary learning Paper submission Each paper should be between 4 and 6 pages, inclusive of figures, tables, and references. All papers must be submitted using the IEEE conference template, found at https://www.ieee.org/conferences/publishing/templates.html To submit your paper, click on “Submit a contribution to SSCI 2023” in https://conf.papercept.net/conferences/scripts/start.pl (requires registration) using the symposium code FOCI. In addition, SSCI 2023 offers a “Presentation-Only” option, which requires a two-page abstract. Accepted submissions will be presented orally at the conference and listed in the final program, but will not be available in IEEE Xplore. For more details, please follow the instructions at https://attend.ieee.org/ssci-2023/paper-submission/ Important dates Paper Submissions: July 31, 2023 (no further extensions!) Paper Acceptance: August 31, 2023 Camera-ready Paper: September 20, 2023 Early Registration: September 20, 2023 Conference dates: December 5-8, 2023 Symposium Chairs Domingo López-Rodríguez, University of Malaga, Spain Leonardo Franco, University of Florida, USA Chao Qian, Nanjing University, China

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[OM-2023] 2nd CFP: 18th workshop on Ontology Matching collocated with ISWC

by Cassia TROJAHN

The 18th International Workshop on ONTOLOGY MATCHING (OM-2023) http://om2023.ontologymatching.org/ November 6th or 7th, 2023, International Semantic Web Conference (ISWC) Workshop Program, Athens, Greece 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) 2023 campaign: http://oaei.ontologymatching.org/2023/ 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; 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 2023 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=om2023 Contributors to the OAEI 2023 campaign have to follow the campaign conditions and schedule at http://oaei.ontologymatching.org/2023/. DATES FOR TECHNICAL PAPERS AND POSTERS: July 31st, 2023: Deadline for the submission of papers. August 28th, 2023: Deadline for the notification of acceptance/rejection. September 4th, 2023: Workshop camera ready copy submission. November 6th or 7th, 2023: OM-2023, M.A.I.C.C., Athens, Greece. 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 (main contact) 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 PROGRAM COMMITTEE: Alsayed Algergawy, Jena University, Germany Manuel Atencia, Universidad de Málaga, Spain Jiaoyan Chen, University of Oxford, UK Jérôme David, University Grenoble Alpes & INRIA, France Gayo Diallo, University of Bordeaux, France Daniel Faria, INESC-ID&IST, University of Lisbon, Portugal Alfio Ferrara, University of Milan, Italy Marko Gulić, University of Rijeka, Croatia Wei Hu, Nanjing University, China Ryutaro Ichise, National Institute of Informatics, Japan Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands Naouel Karam, Fraunhofer, Germany Prodromos Kolyvakis, EPFL, Switzerland Patrick Lambrix, Linköpings Universitet, Sweden Oliver Lehmberg, University of Mannheim, Germany Fiona McNeill, University of Edinburgh, UK Hoa Ngo, CSIRO, Australia George Papadakis, University of Athens, Greece Catia Pesquita, University of Lisbon, Portugal Henry Rosales-Méndez, University of Chile, Chile Booma Sowkarthiga, Microsoft, USA Kavitha Srinivas, IBM, USA Giorgos Stoilos, University of Oxford, UK Valentina Tamma, University of Liverpool, UK Ludger van Elst, DFKI, Germany Xingsi Xue, Fujian University of Technology, China Ondřej Zamazal, Prague University of Economics, Czech Republic Songmao Zhang, Chinese Academy of Sciences, China Lu Zhou, TigerGraph, USA ------------------------------------------------------- More about ontology matching: http://www.ontologymatching.org/ http://book.ontologymatching.org/ ------------------------------------------------------- Best Regards, Cassia

4 months

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collecting Jupyter notebooks for FCA

by Uta Priss

Hi, the CoNo-Concepts Workshop at ICFCA showed that there is growing interest in using Jupyter (and other) notebooks for FCA and that creating a page that collects these notebooks may be useful. Since many people host their notebooks on Github, the easiest way to create such a webpage is to add topics to the notebooks because Github automatically generates a page for each topic. My suggestion for such a topic is concept-analysis-notebooks If you add that to your notebook on Github, it will be added to the page https://github.com/topics/concept-analysis-notebooks BTW it is possible to directly execute notebooks without locally installing any software. One only needs to figure out the URL corresponding to a notebook (for example using https://mybinder.org/). For example, if your notebook resides at https://github.com/YOURNAME/YourRepository/folder/name.ipynb and the branch is "main" then it can be executed at https://mybinder.org/v2/gh/YOURNAME/YourRepository/main?urlpath=lab/tree/fo… without installing anything and without requiring any logins. If you include such a link in your description and Readme, then users can find it quickly. Best wishes Uta

4 months, 1 week

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2023

2022

2021

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