Acquisition de connaissances d'adaptation à partir d'une base de cas hétérogène

Abstract : Adaptation Knowledge Acquisition (AKA) is considered as the bottleneck of Case- Based Reasoning (CBR) systems. This article presents our approach to acquire such knowledge in an ontology-based CBR system. The acquisition is done from a heterogeneous case base, where cases do not always share the same descriptors, and is based on the techniques of formal concept analysis. The proposed approach is implemented in COBRA, our CBR platform. In this article, we present our AKA approach as well as our case alignment approach for treating cases heterogeneity.
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Amjad Abou Assali, Dominique Lenne, Bruno Debray. Acquisition de connaissances d'adaptation à partir d'une base de cas hétérogène. Technique et Science Informatiques, Hermès-Lavoisier, 2012, 31 (2), pp.159-185. ⟨10.3166/tsi.31.159-185⟩. ⟨ineris-00963376⟩

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