An Algorithm for Adapting Cases Represented in an Expressive Description Logic

Julien Cojan 1 Jean Lieber 1
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper presents an algorithm of adaptation for a case-based reasoning system with cases and domain knowledge represented in the expressive description logic ALC. The principle is to first pretend that the source case to be adapted solves the current target case. This may raise some contradictions with the specification of the target case and with the domain knowledge. The adaptation consists then in repairing these contradictions. This adaptation algorithm is based on an extension of the classical tableau method used for deductive inference in ALC.
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Communication dans un congrès
Isabelle Bichindaritz and Stefania Montani. 18th International Conference on Case-Based Reasoning - ICCBR 2010, Jul 2010, Alessandria, Italy. Springer Berlin, 6176, pp.51-65, 2010, Lecture Notes in Artificial Intelligence. 〈http://www.springerlink.com/content/g314847630u162t7/?p=439be231431d441daea7fd617ad6bff3&pi=5〉. 〈10.1007/978-3-642-14274-1〉
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Dernière modification le : jeudi 11 janvier 2018 - 06:19:53
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Julien Cojan, Jean Lieber. An Algorithm for Adapting Cases Represented in an Expressive Description Logic. Isabelle Bichindaritz and Stefania Montani. 18th International Conference on Case-Based Reasoning - ICCBR 2010, Jul 2010, Alessandria, Italy. Springer Berlin, 6176, pp.51-65, 2010, Lecture Notes in Artificial Intelligence. 〈http://www.springerlink.com/content/g314847630u162t7/?p=439be231431d441daea7fd617ad6bff3&pi=5〉. 〈10.1007/978-3-642-14274-1〉. 〈inria-00506078〉

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