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;
2017-01-01
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.File in questo prodotto:
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