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2016 IEEE International Conference on Advances in Computer Applications (ICACA)
With the exponential rise in the amount of information in the World Wide Web, there is a need for a much efficient algorithm for Web Search. The traditional keyword matching as well as the standard statistical techniques is insufficient as the Web Pages they recommend are not highly relevant to the query. With the growth in Semantic Web, an algorithm which semantically computes the most relevant Web Pages is required. In this paper, a methodology which computes the semantic heterogeneitydoi:10.1109/icaca.2016.7887921 fatcat:zbwkbtyounesxbiwse3qdpt5aa