1UTC - Université de Technologie de Compiègne (Université de Technologie de Compiègne - Centre de Recherche de Royallieu - rue du Docteur Schweitzer- CS 60319 - 60203 COMPIEGNE Cedex - France)
Abstract : This paper presents our knowledge-intensive Case-Based Reasoning platform for diagnosis, COBRA. It integrates domain knowledge along with cases in an ontological structure. COBRA allows users to describe cases using any concept or instance of a domain ontology, which leads to a heterogeneous case base. Cases heterogeneity complicates their retrieval since correspondences must be identified between query and case attributes. We present in this paper our system architecture and the case retrieval phase. Then, we introduce the notions of similarity regions and attributes' roles used to overcome cases heterogeneity problems.
https://hal-ineris.archives-ouvertes.fr/ineris-00973352
Contributor : Gestionnaire Civs
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Submitted on : Friday, April 4, 2014 - 10:22:07 AM
Last modification on : Thursday, February 7, 2019 - 2:48:27 PM
Long-term archiving on: Friday, July 4, 2014 - 11:28:07 AM
