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ONTOPARK: ONTOLOGY BASED PAGE RANKING FRAMEWORK USING RESOURCE DESCRIPTION FRAMEWORK
2014
Journal of Computer Science
Traditional search engines like Google and Yahoo fail to rank the relevant information for users' query. This is because such search engines rely on keywords for searching and they fail to consider the semantics of the query. More sophisticated methods that do provide the relevant information for the query is the need of the time. The Semantic Web that stores metadata as ontology could be used to solve this problem. The major drawback of the PageRank algorithm of Google is that ranking is based
doi:10.3844/jcssp.2014.1776.1781
fatcat:ejkmxrncwrbsdlbvhisfb225p4