Searching for concepts in the Internet using FIS-CRM

This paper presents a search system in the Internet capable 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). This system uses the FIS-CRM model (Fuzzy Interrelations and Synonymy based Concept Representation Model) that 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). This model has been also implemented in the FISS metasearcher where it 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.