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Treffer: Document retrieval using knowledge-based fuzzy information retrieval techniques

Title:
Document retrieval using knowledge-based fuzzy information retrieval techniques
Source:
IEEE transactions on systems, man, and cybernetics. 25(5):793-803
Publisher Information:
New York, NY: Institute of Electrical and Electronics Engineers, 1995.
Publication Year:
1995
Physical Description:
print, 23 ref
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
National Chiao Tung univ., dep. computer information sci., Hsinchu TW, China
ISSN:
0018-9472
Rights:
Copyright 1995 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.3627880
Database:
PASCAL Archive

Weitere Informationen

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 the ones presented in [6] and [11] due to the fact that it has the capability to deal with interval queries and weighted-interval queries.