Web searching could be more fruitful if a user easily found documents which satisfy his/her needs in terms of structure, format and contents. In this paper first the state of the art is briefly reviewed and then the solution proposed uses a fuzzy linguistic description of the documents, a linguistic variant of standard metadata types. Linguistic expressions are used to qualitatively represent both meta-information and user needs and a matching system is developed to select the most compatible documents with the user profile. So the documents retrieved by a web search engine are organized in clusters and ordered in each of them.

Searching Web Documents Using a Fuzzy-Based Method

FISCHETTI, Enrico;
2017

Abstract

Web searching could be more fruitful if a user easily found documents which satisfy his/her needs in terms of structure, format and contents. In this paper first the state of the art is briefly reviewed and then the solution proposed uses a fuzzy linguistic description of the documents, a linguistic variant of standard metadata types. Linguistic expressions are used to qualitatively represent both meta-information and user needs and a matching system is developed to select the most compatible documents with the user profile. So the documents retrieved by a web search engine are organized in clusters and ordered in each of them.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4681915
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