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An Algorithm for Adapting Cases Represented in ALC

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 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 tableau method used for deductive inferences in ALC.
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Conference papers
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Contributor : Jean Lieber Connect in order to contact the contributor
Submitted on : Thursday, April 7, 2011 - 3:00:35 PM
Last modification on : Saturday, June 25, 2022 - 7:40:33 PM


  • HAL Id : inria-00584103, version 1



Julien Cojan, Jean Lieber. An Algorithm for Adapting Cases Represented in ALC. 22nd International Joint Conference on Artificial Intelligence - IJCAI 2011, Jul 2011, Barcelone, Spain. ⟨inria-00584103⟩



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