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.
https://hal.inria.fr/inria-00584103
Contributeur : Jean Lieber
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Soumis le : jeudi 7 avril 2011 - 15:00:35
Dernière modification le : jeudi 11 janvier 2018 - 06:19:55
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. 2011. 〈inria-00584103〉
