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ADAPTATION KNOWLEDGE ACQUISITION IN A CBR SYSTEM.
- Source :
-
International Journal on Artificial Intelligence Tools . Feb2013, Vol. 22 Issue 1, p1-13. 13p. 4 Diagrams, 1 Chart. - Publication Year :
- 2013
-
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 knowl-edge, 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 [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02182130
- Volume :
- 22
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- International Journal on Artificial Intelligence Tools
- Publication Type :
- Academic Journal
- Accession number :
- 85951758
- Full Text :
- https://doi.org/10.1142/S0218213012500418