Using fuzzy ontology for query refinement in a personalized abstract search engine

Dwi H. Widyantoro, John Yen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations

Abstract

Recommending alternate queries during information seeking activities is an important feature in a Web-based search engine because users often do not know the exact terms to locate the information relevant to their interests. This paper describes our approach to construct automatically a fuzzy ontology that can be used to refine a user's query. The method has been incorporated in a domain-specific search engine namely Personalized Abstract Search Services (PASS). Preliminary results suggest that the basic approaches adopted as well as the technique developed for practical use are intuitively promising.

Original languageEnglish (US)
Title of host publicationAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
EditorsM.H. Smith, W.A. Gruver, L.O. Hall
Pages610-615
Number of pages6
Volume1
Publication statusPublished - 2001
EventJoint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada
Duration: Jul 25 2001Jul 28 2001

Other

OtherJoint 9th IFSA World Congress and 20th NAFIPS International Conference
CountryCanada
CityVancouver, BC
Period7/25/017/28/01

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

Cite this

Widyantoro, D. H., & Yen, J. (2001). Using fuzzy ontology for query refinement in a personalized abstract search engine. In M. H. Smith, W. A. Gruver, & L. O. Hall (Eds.), Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS (Vol. 1, pp. 610-615)