Monday 26 December 2011

Foundations of Information and Knowledge Systems Call for Papers

Foundations of Information and Knowledge Systems 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 2012 solicits original 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, complexity theory, algorithmics and computation, statistics and optimisation.
Previous FoIKS symposia were held in Sofia (Bulgaria) in 2010, Pisa (Italy) in 2008, Budapest (Hungary) in 2006, Vienna (Austria) in 2004, Schloß Salzau near Kiel (Germany) in 2002, and Burg/Spreewald near Berlin (Germany) in 2000. FoIKS took up the tradition of the conference series Mathematical Fundamentals of Database Systems (MFDBS), which initiated East-West collaboration in the field of database theory. Former MFDBS conferences were held in Rostock (Germany) in 1991, Visegrad (Hungary) in 1989, and Dresden (Germany) in 1987.
The FoIKS symposia are a forum for intense 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 include, but are not limited to:
* Database Design: formal models, dependencies and independencies;
* 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, 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, argumentation systems;
* Logics in Databases and AI: classical and non-classical logics, logic programming, description logic, 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, 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; and
* The WWW: models of Web databases, Web dynamics, Web services, Web transactions and negotiations.

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