Ordering Result Set in Semantic Web Page Retrieval

Abstract

Search Engines are the most helpful tools for organizing information and extracting knowledge from the web. Traditional search engines provide a burden of useless pages to the end users. Semantic Web search engine overcomes the problem in traditional search engine at architecture level. A relation-based page rank algorithm to be used in conjunction with Semantic Web search engines is proposed. In the semantic web, each page possesses semantic metadata that record additional details concerning the web page itself. Web pages are annotated based on the classes of concepts and relations in the given ontology. These relations are embedded into semantic annotation, which are effectively exploited to define a ranking strategy for Semantic Web search engines. This sort of ranking exploits more precise information that can be made available within a Web page. Pages that are best fit by the user query are displayed first using ranking strategy.