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RelKRL 2009 : Workshop Relational Approaches to Knowledge Representation and Learning

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Link: http://www.fernuni-hagen.de/wbs/relkrl09
 
When Sep 15, 2009 - Sep 15, 2009
Where Paderborn, Germany
Submission Deadline Jun 16, 2009
Notification Due Jul 23, 2009
Final Version Due Aug 15, 2009
Categories    artificial intelligence   machine learning   knowledge representation   agent systems
 

Call For Papers

**********************************************************************
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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