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A fuzzy ontology-based abstract search engine and its user studies

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

Query refinement can help users find information on the Internet more effectively. This feature has been implemented in a PASS (personalized abstract search services) system, a Web-based, domain-specific search engine for searching abstracts of research papers. The system uses a fuzzy ontology of term associations to support the feature. The ontology is automatically built in two stages using information obtained from the system's collection. A preliminary user study reveals that query refinement is one of the most important features of the system

Published in:

Fuzzy Systems, 2001. The 10th IEEE International Conference on  (Volume:3 )

Date of Conference:

2001