본문 바로가기
  • Home

Query Processing Model Using Two-Level Fuzzy Knowledge Base

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2005, 10(4), pp.1-16
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

ki-young lee 1 김영운 2

1원광보건대학교
2원광보건대학

Candidate

ABSTRACT

When Web-based special retrieval systems for scientific field extremely restrict the expression of user's information request, the process of the information content analysis and that of the information acquisition become inconsistent. Accordingly, this study suggests the re-ranking retrieval model which reflects the content based similarity between user's inquiry terms and index words by grasping the document knowledge structure. In order to accomplish this, the former constructs a thesaurus and similarity relation matrix to provide the subject analysis mechanism and the latter propose the algorithm which establishes a search model such as query expansion in order to analyze the user's demands. Therefore, the algorithm that this study suggests as retrieval utilizing the information structure of a retrieval system can be content-based retrieval mechanism to establish a 2-step search model for the preservation of recall and improvement of accuracy which was a weak point of the previous fuzzy retrieval model.

Citation status

* References for papers published after 2022 are currently being built.