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A Semantic Similarity Decision Using Ontology Model Base On New N-ary Relation Design
Abstract
Currently be proceeded a lot of researchers for ‘user information demand description' for interface of an information retrieval system or Web search engines, but user information demand description for a natural language form is a difficult situation. These reasons are as they cannot provide the semantic similarity that an information retrieval model can be completely satisfied with variety regarding an information demand expression and semantic relevance for user information description. Therefore, this study using the description logic that is a knowledge representation base of OWL and a vector model-based weight between concept, and to be able to satisfy variety regarding an information demand expression and semantic relevance proposes a decision way for perfect assistances of user information demand description. The experiment results by proposed method, semantic similarity of a polyseme and a synonym showed with excellent performance in decision.
- keywords
- 의미유사도, 온톨로지, N-ary, 추론, 질의응답시스템, semantic similarity, ontology, N-ary, inference, question-answer system, semantic similarity, ontology, N-ary, inference, question-answer system
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