ADAPTATION KNOWLEDGE ACQUISITION IN A CBR SYSTEM
2013 ◽
Vol 22
(01)
◽
pp. 1250041
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Keyword(s):
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.
Keyword(s):
2006 ◽
Vol 19
(3)
◽
pp. 192-201
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Keyword(s):
2021 ◽
Vol 1792
(1)
◽
pp. 012044
Keyword(s):
1989 ◽
Vol 81
(3)
◽
pp. 306-312
◽
2006 ◽
pp. 233-245
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Keyword(s):
1998 ◽
Vol 10
(1)
◽
pp. 1-34
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2017 ◽
Vol 17
(3)
◽