본문 바로가기
  • Home

A Semantic Similarity Decision Using Ontology Model Base On New N-ary Relation Design

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2008, 25(4), pp.43~66
  • DOI : 10.3743/KOSIM.2008.25.4.043
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : August 20, 2008
  • Accepted : December 1, 2008
  • Published : December 30, 2008

Su-Kyung Kim 1 Ahn,Kee-Hong 2 Ho-Jin Choi 3

1한국정보통신대학교
2한밭대학교
3한국과학기술원

Accredited

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.

Citation status

* References for papers published after 2023 are currently being built.