Abstract
In this paper we present a fuzzy model for representing WEB structured documents in an Information Retrieval System and a flexible query language for expressing soft selection conditions. The documents’ content is organized into thematic (topical) sections where the index terms play a distinct role. The proposed document representation is adaptive to the user, who can indicate the preferred sections of documents, i.e. those which they estimate to bear the most interesting information, and can linguistically quantify the number of sections which determine the global potential interest of the documents.
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Bordogna, G., Pasi, G. (2003). Flexible Representation and Retrieval of WEB Documents. In: Szczepaniak, P.S., Segovia, J., Kacprzyk, J., Zadeh, L.A. (eds) Intelligent Exploration of the Web. Studies in Fuzziness and Soft Computing, vol 111. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1772-0_3
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DOI: https://doi.org/10.1007/978-3-7908-1772-0_3
Publisher Name: Physica, Heidelberg
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