Semantic web is a web of future. The Resource Description Framework (RDF) is a languageto represent resources in the World Wide Web. When these resources are queried the problem of duplicatequery results occurs. The present techniques used hash index comparison to remove duplicate queryresults. The major drawback of using the hash index to remove duplicate query results is that, if there is aslight change in formatting or word order, then hash index is changed and query results are no moreconsidered as duplicate even though they have same contents. We presented an algorithm for detection andelimination of duplicate query results from semantic web using hash index and page size comparisons.Experimental results showed that the proposed technique removed duplicate query results from semanticweb efficiently, solved the problems of using hash index for duplicate handling and could be embedded inexisting SQL-Based query system for semantic web. Research could be carried out for certain flexibilitiesin existing SQL-Based query system of semantic web to accommodate other duplicate detection techniquesas well
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