T. Tanawong and S. Chittayasothorn (Thailand)
Case-Based Reasoning, Ontology, Case matching, Information retrieval
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.
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