본문 바로가기
  • Home

Relevance Feedback based on Medicine Ontology for Retrieval Performance Improvement

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2005, 22(2), pp.41~56
  • DOI : 10.3743/KOSIM.2005.22.2.041
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : April 19, 2005
  • Accepted : June 20, 2005
  • Published : June 30, 2005

Soo-Yeon Lim 1

1경북대학교

Accredited

ABSTRACT

For the purpose of extending the Web that is able to understand and process information by machine, Semantic Web shared knowledge in the ontology form. For exquisite query processing, this paper proposes a method to use semantic relations in the ontology as relevance feedback information to query expansion. We made experiment on pharmacy domain. And in order to verify the effectiveness of the semantic relation in the ontology, we compared a keyword based document retrieval system that gives weights by using the frequency information compared with an ontology based document retrieval system that uses relevant information existed in the ontology to a relevant feedback. From the evaluation of the retrieval performance, we knew that search engine used the concepts and relations in ontology for improving precision effectively. Also it used them for the basis of the inference for improvement the retrieval performance.

Citation status

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