International Journal of Education and Management Engineering (IJEME)
IJEME Vol. 8, No. 5, 8 Sep. 2018
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An Efficient Approach for Web Mining using Semantic Web
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Author(s)
Index Terms
RDF, Semantic Web, Web Ontology, Web Mining
Abstract
The volume of data on the Web is increasing rapidly. The rapidly increased data in Web have brought an urgent need to develop a method to organize that data. At the same time, the level of user expectation of getting précised data is increased highly. Hence, it is tough to satisfy the user satisfaction through the existing system. In this paper, we proposed a model to organize the large volume of data over the Web and retrieve the more relevant data to the user. As an implementation of the proposed model, we built two demo search engine (one for RDF based semantic searching and another for existing searching). We use two different sets of data for testing. For every set of data, the RDF based searching returns more précised data than existing searching. The efficiency of the proposed model is better than the existing searching strategies. In the proposed model, we considered both traditional web and RDF based ontology library to organize the data effectively.
Cite This Paper
Md. Motiur Rahman, Ferdusee Akter,"An Efficient Approach for Web Mining using Semantic Web", International Journal of Education and Management Engineering(IJEME), Vol.8, No.5, pp.31-39, 2018. DOI: 10.5815/ijeme.2018.05.04
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