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

Dwi H. Widyantoro, John Yen

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

78 Scopus citations

Abstract

Query refinement can help users find information on the Internet more effectively. This feature has been implemented in a Personalized Abstract Search Services (PASS) 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.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Fuzzy Systems
Pages1291-1294
Number of pages4
Volume3
StatePublished - 2001
Event10th IEEE International Conference on Fuzzy Systems - Melbourne, Australia
Duration: Dec 2 2001Dec 5 2001

Other

Other10th IEEE International Conference on Fuzzy Systems
CountryAustralia
CityMelbourne
Period12/2/0112/5/01

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Software
  • Artificial Intelligence
  • Applied Mathematics

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