Nonmonotonic Multi-Context Systems in Dynamic
                    Environments?

                                          Thomas Eiter

                 Institut für Informationssysteme, Technische Universität Wien
                           Favoritenstraße 9-11, A-1040 Vienna, Austria
                                   eiter@kr.tuwien.ac.at



        Abstract. Multi-context systems (MCS) have been developed as a means for
        interlinking stand-alone knowledge bases, called contexts, via bridge rules for
        information exchange. Expressive MCS can host heterogeneous components with
        different (possibly nonmonotonic) semantics, and allow to capture a range of
        application logics, providing a versatile framework for interlinking heterogenous
        knowledge bases. A underlying assumption of MCS is, however, that the under-
        lying collection of knowledge bases and their interlinkage is fixed. This hinders,
        however, to usage of MCS in an open or dynamic environment, where the available
        knowledge bases might change. To improve on this aspect, recent work at TU
        Wien developed Dynamic MCS, which consist of schematic contexts where part
        of the information interlinkage can remain open at design time; a concrete linkage
        is established by a configuration step at run time. In this talk, we present dynamic
        MCS, methods for distributed configuration, and some results of an experimental
        implementation.

        Short Biography. Thomas Eiter is a full professor (since 1998) in the Faculty of
        Informatics at Vienna University of Technology (TU Wien), Austria, where he
        leads the Knowledge Based Systems Group. His current research interests include
        knowledge representation and reasoning, logic programming, complexity in AI,
        knowledge-based agents, database foundations, and logic in computer science. He
        serves on the boards of several international journals and program committees in
        his fields (e.g., co-chair of KR 2012). He is a Fellow of the European Coordinating
        Committee for Artificial Intelligence (ECCAI), and a Corresponding Member of
        the Austrian Academy of Sciences.




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    This research is partially supported by Austrian Science Fund (FWF) grant P20841, Vienna
    Science and Technology Fund (WWTF) grant ICT08-020, and the FP7 ICT Project Ontorule
    (FP7 231875).