Clustered organized conceptual queries in the internet using fuzzy interrelations

Authors:
Pablo J. Garcés;José A. Olivas;Francisco P. Romero
Affiliations:
Dep. of Computer Science, University of Castilla-La Mancha, Ciudad Real, Spain;Dep. of Computer Science, University of Castilla-La Mancha, Ciudad Real, Spain;Soluziona Software Factory, Ciudad Real, Spain
Venue:
AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
Year:
2003

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Abstract

This paper introduces a new application of the FIS-CRM model (Fuzzy Interrelations and Synonymy based Concept Representation Model) in order to define a mechanism to achieve the conceptual matching between the concepts contained in a web page and the implicit concepts in the user's query, that is, the proposed system is able to retrieve the web pages that contain the concepts (not the words) specified in the query (called clustered organized conceptual queries in this paper). FIS-CRM may be considered a fuzzy extension of the vector space model that is based on fuzzy interrelations between terms (fuzzy synonymy and fuzzy generality at the moment). The FISS metasearcher was the first system integrating this model and, in that system, the model was used to extract the concepts contained in the snippets retrieved by the search engine (Google) making possible to cluster the results of the query into groups of conceptually related web pages.