*Call for Papers*

13th International Symposium on Foundations of Information and Knowledge Systems – FoIKS 2024

https://foiks2024.github.io/

Extended Deadlines

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(Extended) Abstract submission deadline: 11.12.2023 AoE ("anywhere on earth")

(Extended) Paper submission deadline: 14.12.2023 AoE ("anywhere on earth")

Invited Speakers

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* 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

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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

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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

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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

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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-gui... and https://resource-cms.springernature.com/springer-cms/rest/v1/content/1923864...). 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

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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

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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

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All questions about submissions should be emailed to foiks24@easychair.org.

https://foiks2024.github.io/

_________________________ Dr. Lucía Gómez Álvarez Computational Logic Group Institute for Artificial Intelligence Faculty of Computer Science TU Dresden GERMANY