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
         
        
        
        
            fDate : 
6/23/1905 12:00:00 AM
         
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Fuzzy Systems, 2001. The 10th IEEE International Conference on
         
        
            Conference_Location : 
Melbourne, Vic.
         
        
            Print_ISBN : 
0-7803-7293-X
         
        
        
            DOI : 
10.1109/FUZZ.2001.1008895