Title :
Supporting conceptual and neighborhood queries on the World Wide Web
Author :
Chang, Chih-Shyang ; Chen, Arbee L P
Author_Institution :
Trilogy Technol. Inc., Taipei, Taiwan
fDate :
5/1/1998 12:00:00 AM
Abstract :
A document retrieval system mainly consists of three components: document representation, user queries, and document evaluation. Each component may involve some uncertainties. Fuzzy set theory is a natural approach to coping with the representation of documents, queries, and the relevance of documents to a given query. The authors propose a fuzzy document retrieval model on the World Wide Web (WWW) environment to support conceptual queries. A flexible query expression is proposed to support different semantics of the queries. A concept network is adopted as the knowledge base to represent the relevance of the concepts. The concept network is explored from the WWW. Moreover, they also support neighborhood queries, which retrieve documents relevant to a document specified by a user. A system is currently being implemented to achieve these functions
Keywords :
fuzzy set theory; information networks; query processing; uncertainty handling; World Wide Web; concept network; conceptual queries; document evaluation; document relevance; document representation; document retrieval system; flexible query expression; fuzzy document retrieval model; fuzzy set theory; knowledge base; neighborhood queries; semantics; uncertainties; user queries; Computer science; Councils; Fuzzy set theory; Fuzzy sets; Information retrieval; Navigation; Search engines; Uncertainty; Web sites; World Wide Web;
Journal_Title :
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
DOI :
10.1109/5326.669578