Decision of Semantic Similarity Using Description Logic and Vector Weight between Concepts
Su Kyoung Kim, Ho-Jin Choi · 2008
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, using the description logic which is a knowledge representation base of OWL and a vector model-based weight between concept, we proposes a method that can satisfy variety regarding an information demand expression, and proposes a decision method of semantic similarity for perfect assistances of user information demand description. The experiment results by proposed approach, semantic similarity of a polysemy and a synonym showed with excellent performance in decision.