Personalized ontology model - a survey

Abstract

Ontology is an explicit specification of knowledge as formal description of concepts, relations between the concepts and axioms about the target domain. Ontology is also used to represent user profiles in personalized web information gathering. For representing user profiles many models have been developed, these models provide knowledge from either a global or local knowledge base. The global analysis uses existing global knowledge bases and to produce effective performance. The local analysis observes user behavior in user profiles. The user background knowledge can be better discovered and represented if we integrate global and local analysis. However, it is challenging to use semantic relations of “kind-of”, “part-of”, and “is-a” and synthesize commonsense and expert knowledge in a single computational model. In this paper, a personalized ontology model based on user profiles is used. This model learns user profile from both global knowledge base and local instance repositories. After comparing with benchmark models in web information gathering ontology model has an edge over other models.