Dynamic Multi-Fuzzy Semantic Concept Based Document Clustering Technique

Ayodeji , O. J. Ibitoye


The fast pace of change in web content and the consistency in the exponential growth of web data, calls for a matching approach that can proportionately increase the relevance ratio of retrieved documents from potential clustered documents gathered by the user query. The research introduces the Dynamic Multi-Fuzzy Semantic (DMFS) technique as an enhanced methodology that seeks for the retrieval of concept oriented document by establishing a conceptual structure on the document clustered with the goal of obtaining a well partitioned sub cluster of documents with associated degree of relationship that is structured to retrieving a concise, specific and pertinent document that is based on concept matching and more preferable to the users` goal when compared with existing document clustering approach.


Fuzzy; Automatic Thesaurus Construction; Fuzzy Concept Network; Concept; Concept Based Thesaurus Network; Information Retrieval

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