Document retrieval using knowledge-based fuzzy information retrieval techniques

Author

Chen, Shyi-Ming ; Wang, Jeng-Yih

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

Volume

25

Issue

5

fYear

1995

fDate

5/1/1995 12:00:00 AM

Firstpage

793

Lastpage

803

Abstract

A knowledge-based approach for fuzzy information retrieval is proposed, where interval queries and weighted-interval queries are allowed for document retrieval. In this paper, knowledge is represented by a concept matrix, where the elements in a concept matrix represent relevant values between concepts. The implicit relevant values between concepts are inferred by the transitive closure of the concept matrix based on fuzzy logic. The proposed method is more flexible than previous methods due to the fact that it has the capability to deal with interval queries and weighted-interval queries

Keywords

fuzzy logic; fuzzy set theory; information retrieval; knowledge representation; matrix algebra; concept matrix; document retrieval; knowledge-based approach; knowledge-based fuzzy information retrieval techniques; weighted-interval queries; Boolean functions; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Helium; Information retrieval; Knowledge representation; Probabilistic logic; Query processing;

fLanguage

English

Journal_Title

Systems, Man and Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9472

Type

jour

DOI

10.1109/21.376492

Filename

376492