Effective Semantic Web Information Retrieval using Fuzzy Based Ontology
P. Nandhakumar1, M. Hemalatha2
1P.Nandhakumar, Senior, Department of Software Engineering Easy Design Systems, Private Limited, Coimbatore (Tamil Nadu), India.
2M.Hemalatha, Professor & Head, Ph.D Scholars, Department of Computer Science, Karpagam University, Coimbatore (Tamil Nadu), India.
Manuscript received on 6 April 2014 | Revised Manuscript received on 17 April 2014 | Manuscript Published on 30 April 2014 | PP: 33-36 | Volume-3 Issue-11, April 2014 | Retrieval Number: K15870431114/14©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Information retrieval technology has been essential to the success of the Web. This paper presents a Fuzzy based Ontology approach which can improve semantic documents retrieval. Fuzzy Knowledge Base is being defined formally and new relationship called as semantic correlation is considered as a non-taxonomic relationship. This correlation is updated automatically when an insert is made into the database after processing a query. Here Information retrieval algorithm is used to find out the unique path between the entities being extracted from the queries by parsing. The extracted entities are used in construction of a SPARQL query using the template and the search is made to obtain maximum semantic association in the knowledge base. The implementation results obtained shows promising results in terms of precision and recall. The comparison made with other existing algorithms used has proved our proposed approach to be a outstanding one in information retrieval environment.
Keywords: Semantic Web, Ontology, Fuzzy Theory, Information Retrieval.
Scope of the Article: Web Technologies