ABSTRACT: The amount of information on the world wide web increases rapidly. But gathering the required information from the web has become the most challenging job in today’s scenario. People are only interested in the relevant information from the web. The web information gathering systems before this satisfy the user’s requirements by capturing their information needs. For this reason user profiles are created for user background knowledge representation and description. The user profiles represent the concepts models possessed by user while gathering the useful web information. The concept of Ontologies is utilized in personalized web information gathering which are called ontological user profiles or personalized ontologies. In this paper, an ontology model is proposed for representing the user background knowledge for personalized web information gathering. Personalized ontology attempts to improve the web information gathering performance by using ontological user profiles. The model constructs user personalized ontologies by extracting world knowledge from the Library of Congress Subject Headings system and discovering user background knowledge from user local instance repositories
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