Title :
Using fuzzy ontology for query refinement in a personalized abstract search engine
Author :
Widyantoro, Dwi H. ; Yen, John
Author_Institution :
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
Abstract :
Recommending alternate queries during information seeking activities is an important feature in a Web-based search engine because users often do not know the exact terms to locate the information relevant to their interests. This paper describes an approach to construct automatically a fuzzy ontology that can be used to refine a user´s query. The method has been incorporated in a domain-specific search engine namely Personalized Abstract Search Services (PASS). Preliminary results suggest that the basic approaches adopted as well as the technique developed for practical use are intuitively promising
Keywords :
Internet; fuzzy logic; information needs; information resources; information retrieval; search engines; Internet; Personalized Abstract Search Services; Web-based search engine; alternate query recommendation; dornain-specific search engine; fuzzy ontology; information seeking; personalized abstract search engine; query refinement; Automatic control; Control systems; Information retrieval; Ontologies; Search engines; Stability; Thesauri;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.944322
