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Journal Articles International Journal on Artificial Intelligence Tools Year : 2013

Adaptation knowledge acquisition in a CBR system

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Abstract

In a case-based reasoning system, adaptation is a complicated task since it requires domain-specific knowledge, which is generally difficult to define. To acquire such knowledge, we propose a semi-automatic approach based on Formal Concept Analysis (FCA) techniques. We use Logical Concept Analysis (LCA), a generalization of FCA, to extract adaptation conditions that enhance the retrieval and adaptation processes. In this paper, we present this approach, that has been implemented in COBRA, our ontology-based CBR platform, and applied to the diagnosis of gas sensor failures.
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Dates and versions

ineris-00963446 , version 1 (21-03-2014)

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Amjad Abou Assali, Dominique Lenne, Bruno Debray. Adaptation knowledge acquisition in a CBR system. International Journal on Artificial Intelligence Tools, 2013, 22 (1), pp.1250041. ⟨10.1142/S0218213012500418⟩. ⟨ineris-00963446⟩
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