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RelKRL 2009 : Workshop Relational Approaches to Knowledge Representation and Learning | |||||||||||||||
Link: http://www.fernuni-hagen.de/wbs/relkrl09 | |||||||||||||||
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Call For Papers | |||||||||||||||
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Call for Papers: Relational Approaches to Knowledge Representation and Learning ============================================================== 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/ *********************************************************************** 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 ************************************************************************** |
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