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 language | English (US) |
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Title of host publication | IEEE International Conference on Fuzzy Systems |
Pages | 1291-1294 |
Number of pages | 4 |
Volume | 3 |
State | Published - 2001 |
Event | 10th IEEE International Conference on Fuzzy Systems - Melbourne, Australia Duration: Dec 2 2001 → Dec 5 2001 |
Other
Other | 10th IEEE International Conference on Fuzzy Systems |
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Country/Territory | Australia |
City | Melbourne |
Period | 12/2/01 → 12/5/01 |
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Software
- Artificial Intelligence
- Applied Mathematics