Ontology Knowledge based Information Retrieval for User Query Interpretation

사용자 질의 의미 해석을 위한 온톨로지 지식 기반 검색

  • Kim, Nanju (Dept. of Computer Engineering Hannam University) ;
  • Pyo, Hyejin (Dept. of Computer Engineering Hannam University) ;
  • Jeong, Hoon (Dept. of Computer Engineering Hannam University) ;
  • Choi, Euiin (Dept. of Computer Engineering Hannam University)
  • 김난주 (한남대학교 컴퓨터공학과) ;
  • 표혜진 (한남대학교 컴퓨터공학과) ;
  • 정훈 (한남대학교 컴퓨터공학과) ;
  • 최의인 (한남대학교 컴퓨터공학과)
  • Received : 2014.03.06
  • Accepted : 2014.06.20
  • Published : 2014.06.28


Semantic search promises to provide more accurate result than present-day keyword matching-based search by using the knowledge base represented logically. But, the ordinary users don't know well the complex formal query language and schema of the knowledge base. So, the system should interpret the meaning of user's keywords. In this paper, we describe a user query interpretation system for the semantic retrieval of multimedia contents. Our system is ontological knowledge base-driven in the sense that the interpretation process is integrated into a unified structure around a knowledge base, which is built on domain ontologies.


Semantic Search;Ontology;Knowledge Base;Named Entity Recognition;Query Graph Construction


Supported by : 한국연구재단


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