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A Survey on Knowledge Extraction Techniques for Semantic Web

Author(s):

Karishma , VIT, Vellore

Keywords:

Web mining, Semantic Web, Ontology, RDF, Fuzzy Clustering, WUM (Web Usage Mining).

Abstract

Nowadays the Web has demonstrated as a wealthy, remarkable and marvellous data source of information. More than one domains can be viewed and mined in the web. Data mining in web is known as web mining. Objectives of web data mining is taken in searching relevant and reliable and meaningful knowledge from web learn about the particular user and web synthesis also. Extracting the exact information from a large volume repository of unstructured [9-10] or semi structured web is a big challenge. Still researchers are having interest in web data mining. From the various solution of this problem one is Semantic Web. Semantic web is enhancement of current web in where information is provided along with meaning also, hence it enable computers and human being to work together in better coordination. The main deal in web mining techniques is to extract the exact information from web data. This article provides an overview of various Semantic web mining techniques.

Other Details

Paper ID: IJSRDV2I4393
Published in: Volume : 2, Issue : 4
Publication Date: 01/07/2014
Page(s): 882-885

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