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The WorldWideWeb (WWW) is a huge conservatory of web pages. Search Enginesare key applications that fetch web pages for the user query. In the currentgeneration web architecture, search engines treat keywords provided by the useras isolated keywords without considering the context of the user query. Thisresults in a lot of unrelated pages or links being displayed to the user.Semantic Web is based on the current web with a revised framework to display amore precise result set as response to a user query. The current web pages needto be annotated by finding relevant meta data to be added to each of them, sothat they become useful to Semantic Web search engines. Semantic Look exploresthe context of user query by processing the Semantic information recorded inthe web pages. It is compared with an existing algorithm called OntoLook and itis shown that Semantic Look is a better optimized search engine by being morethan twice as fast as OntoLook.

Mathematical Model of Semantic Look - An Efficient Context Driven Search Engine