[PlanetKR] CFP: Relational Approaches to Knowledge Representation and Learning

[Mary-Anne Williams]

                         CALL FOR PAPERS
 Relational Approaches to Knowledge Representation and Learning
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http://www.fernuni-hagen.de/wbs/relkrl09.html

 Organized by the FG Wissensrepräsentation und Schließen of the GI

                      Workshop at KI-2009,
        32nd Annual Conference on Artificial Intelligence,
      September 15-18, 2009, Paderborn, Germany
                http://ki2009.uni-paderborn.de/
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>
> *****************************************
>
> Knowledge representation encompasses a variety of methods and
> formalisms to encode and process all types of knowledge, belief,
> and information. It provides the theoretical foundation for rational and
> intelligent behaviour in real environments, focusing on topics
> like default logics and uncertain reasoning, belief change, ontologies,
> and argumentation, among many others. Moreover, in a thematical
> respect, knowledge representation is closely related to the areas of
> machine learning and knowledge discovery the methods of which allow
> the acquisition of useful information to build up knowledge bases.
>
> Knowledge representation has made substantial progress over the last
> decade by devising sophisticated methods for inference and reasoning.
> Nevertheless, the connection to learning still holds undeveloped
> potential in methodological and technical respects which might be
> crucial for practical applications. Furthermore, the handling of
> relational information, i.e. the explicit representation of knowledge
> about objects and its linking to knowledge about classes, is still a
> challenge for many subareas of knowledge representation. Ontologies,
> logic programming and probabilistic relational models are just some
> important examples of areas of research that address both of these
> points.
>
> The aim of this workshop is to strengthen the connection between
> knowledge representation and learning by focusing on  relational and
> first-order approaches to all areas of knowledge representation and
> learning, in particular
>
>   * default and conditional logics
>   * logic programming
>   * uncertain reasoning
>   * nonmonotonic and nonclassical logics
>   * belief revision
>   * probabilistic networks
>   * inference processes
>   * machine learning
>   * data mining
>   * knowledge discovery
>   * knowledge engineering
>   * ontologies
>   * agent systems
>   * applications
>
> Important Dates:
> ----------------
>    Deadline for Submission:    June 16, 2009
>    Notification of Authors:    July 23, 2009
>    Final Versions of Papers:   August 15, 2009
>    Workshop:                   September 15, 2009 (exact workshop day to be
> confirmed)
>    Conference:          September 15-18, 2009
>
> Workshop Organizers and Co-Chairs:
> ----------------------------------
>    Gabriele Kern-Isberner, TU Dortmund
>    Christoph Beierle, FernUniversität in Hagen
>
> Program Committee:
> ------------------
>    Salem Benferhat     Université d'Artois, Lens, France
>    Gerd Brewka         Universität Leipzig, Germany
>    James P. Delgrande  Simon Fraser University, Canada
>    Jürgen Dix          TU Clausthal-Zellerfeld, Germany
>    Eduardo Ferme       Universidade da Madeira, Portugal
>    Andreas Herzig      Universite Paul Sabatier, Toulouse
>    Pascal Hitzler      Universität Karlsruhe (TH), Germany
>    Antonis C. Kakas    University of Cyprus, Cyprus
>    Christian Kersting  Fraunhofer IAIS, University of Bonn, Germany
>    Thomas Lukasiewicz  University of Oxford, UK
>    Torsten Schaub      Universität Potsdam, Germany
>    Emil Weydert        University of Luxembourg, Luxembourg
>
> Paper Submission and Publication:
> ---------------------------------
> Paper format and submission details are available at
>    http://www.fernuni-hagen.de/wbs/relkrl09





------
Professor Mary-Anne Williams
Director, Innovation and Enterprise Research Laboratory
University of Technology, Sydney
NSW 2007 Australia
http://innovation.it.uts.edu.au/Mary-Anne
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