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Ranking and Evaluation of Automatically Constructed Semantic Search Paths

S. Sendhilkumar, T.V. Geetha

Abstract


Identifying/choosing the best page from the huge set of result pages is one major problem associated with web search. This paper focuses towards the automatic construction of a conceptual graph called Personalized Page-View (PPV) graph which intends to provide a conceptual relation between search queries and result pages returned by any existing search engine. The search paths that exist in the PPV graph are identified and ranked for improving the search through the WWW. Such ranked search paths are evaluated for its relevancy with the user’s context of search based on the user’s feedback. Finally the best search paths that provide the relevant pages with least user effort and less time are recommended to the users.

Keywords


Semantic Web, Web Search, Personalization, Conceptual Graph, Personalized Page-View Graph

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