Paper Title
Ranking Adaptation And Semantic Data Repository Through An Inference Policy Engine

Abstract— with flooding amount data in the world, information retrieval becomes irrelevant for the user’s query. In any search engine, the information is shown based on the ranking and this ranking maybe ambiguous in knowledge base. The semantic technique called Terminological Knowledge box and Assertion Knowledge Box are used for authorization and access control in Inference Policy Engine. In this paper we propose RASVM (Ranking Adaptation Support Vector Machine), an algorithm which ranks the result data in the Inference Policy Engine. By this way the user’s query is given the best match result.