A rule-based CBR approach for expert finding and problem diagnosis
Expert Systems with Applications: An International Journal
Application of ontology guided search for improved equipment diagnosis in a vehicle assembly plant
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Ontological support for Association Rule Mining
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
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In this paper, a new kind of automated fault diagnosis algorithm is proposed. It is a new data-mining algorithm with ontology-based. This algorithm doesnýt only find low-level rules which usually not interesting, but also can find high-level rules which described by high-level concepts. In this paper, we use ontologies provide a mechanism, in data mining, by which domain specific knowledge may be included to aid the discovery process and can find multi- level classification rules, the rules are described by high-level concepts. So it can provide more interesting rules for enterprise. Finally, a study case is given to explain the practical application with the fault diagnosis bases on ontology, and is given encouraging results.