An ontology-based case matching technique

Authors:
Tawin Tanawong;Suphamit Chittayasothorn
Affiliations:
Department of Computer Engineering, Faculty of Engineering, King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand;Department of Computer Engineering, Faculty of Engineering, King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand
Venue:
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
Year:
2007

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Abstract

Case-based reasoning is an artificial intelligence technique that refers to past experiences (cases) to help making decisions or taking actions. An important part of case based reasoning is case matching. Previous cases which are similar to a current given case are matched and retrieved. This paper presents a case matching technique that transforms input surface structure sentences into deep-structure sentences which can be represented by fact types of a conceptual schema model. Each entity type that is involved in a fact type is further described by ontology. The matching result of the proposed technique is compared with those of other classical technique. Better similarity of the case matching is found.