Ontology Based User Modeling for Personalized Information Access

User modeling is an integral part of any personalized information retrieval system. The user model should be adaptable in order to capture the change in information needs of the users. In this paper, we present an ontology based user modeling strategy in the context of personalized information access. We have adopted a hybrid approach by capitalizing on the features of static and dynamic user profiling strategies. Static user profile specifies the user’s interest in a very focused manner and dynamic user profiling adds the feature of adaptability into it. The dynamic user profiling strategy make use of the data sources like usage log and mouse operations that are performed by the users during the browsing sessions. Experiments have performed to evaluate the proposed method for user profiling.