The application of fuzzy set theory to information retrieval has been applied, specifically to Boolean models. This includes fuzzy indexing procedures defined to represent the varying significance of terms in synthesizing the documents’ contents, the definition of query languages to allow the expression of soft selection conditions, and associative retrieval mechanisms to model fuzzy pseudothesauri, fuzzy ontologies, and fuzzy categorizations of documents.

Kraft, D., Colvin, E., Bordogna, G., Pasi, G. (2015). Fuzzy information retrieval systems: A historical perspective. In D.E. Tamir, N.D. Rishe, A. Kandel (a cura di), Fifty Years of Fuzzy Logic and its Applications (pp. 267-296). Springer Verlag [10.1007/978-3-319-19683-1_15].

Fuzzy information retrieval systems: A historical perspective

Pasi G.
2015

Abstract

The application of fuzzy set theory to information retrieval has been applied, specifically to Boolean models. This includes fuzzy indexing procedures defined to represent the varying significance of terms in synthesizing the documents’ contents, the definition of query languages to allow the expression of soft selection conditions, and associative retrieval mechanisms to model fuzzy pseudothesauri, fuzzy ontologies, and fuzzy categorizations of documents.
Capitolo o saggio
Ememes; Fuzzy; Geographic information retrieval; Imprecision; Indexing; Information retrieval; Query; Vagueness;
English
Fifty Years of Fuzzy Logic and its Applications
Tamir, DE; Rishe, ND; Kandel, A
2015
9783319196824
326
Springer Verlag
267
296
Kraft, D., Colvin, E., Bordogna, G., Pasi, G. (2015). Fuzzy information retrieval systems: A historical perspective. In D.E. Tamir, N.D. Rishe, A. Kandel (a cura di), Fifty Years of Fuzzy Logic and its Applications (pp. 267-296). Springer Verlag [10.1007/978-3-319-19683-1_15].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/557465
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