Concept-based Web communities for Google™ search engine.

cluster the homepages based on predefined linguistic formulations and rules defined by experts or based on a set The objective of this paper is to develop an intelligent of known homepageS. This model can be used to calculate computer system with some deductive capabilities to conceptually the degree of match to the object 01 query. conceptually cluster, and rank pages based on We will also present the integration of our technology into predefined linguistic formulations and rules defined by commercial engines as TM as a experts or based on a set of known homepageS. The Bamework that can be used to integrate our model into any Conceptual Fuzzy Set (CFS) model will be used for other commercial search engines, or development of the next generation of search engines (Figure 2). intellieent information and howledge retrieval through I conceptual matching of both text and links (here defined as “Concept”). The selected query doesn’t need to match the decision criteria exactly, which gives the system a more human-like behavior. The model can be used for intelligent information and knowledge retrieval through Web-connectivity-based clustering.