DocumentCode
1711966
Title
A fuzzy ontology-based abstract search engine and its user studies
Author
Widyantoro, Dwi H. ; Yen, John
Author_Institution
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
Volume
3
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
1291
Lastpage
1294
Abstract
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
Keywords
Internet; fuzzy set theory; information retrieval systems; search engines; Internet; PASS system; domain-specific search; fuzzy ontology; personalized abstract search services; query refinement; research papers; search engine; Abstracts; Collaboration; Councils; Displays; Fuzzy systems; Internet; Navigation; Neural networks; Ontologies; Search engines;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location
Melbourne, Vic.
Print_ISBN
0-7803-7293-X
Type
conf
DOI
10.1109/FUZZ.2001.1008895
Filename
1008895
Link To Document