Case retrieval in ontology-based CBR systems

Authors:
Amjad Abou Assali;Dominique Lenne;Bruno Debray
Affiliations:
University of Technology of Compiègne, CNRS, Heudiasyc, INERIS;University of Technology of Compiègne, CNRS, Heudiasyc, INERIS;University of Technology of Compiègne, CNRS, Heudiasyc, INERIS
Venue:
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Year:
2009

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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.