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

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2 Author(s)
Widyantoro, D.H. ; Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA ; Yen, J.

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 an 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

Published in:

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th  (Volume:1 )

Date of Conference:

25-28 July 2001