fca-list October 2023

fca-list@cs.uni-kassel.de

2 participants
3 discussions

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

9 months, 4 weeks

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

11 months, 2 weeks

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 year, 2 months

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fca-list October 2023