A Personalized Ontology Model for Web Information Gathering

Authors:
Xiaohui Tao;Yuefeng Li;Ning Zhong
Affiliations:
Queensland University of Technology, Brisbane;Queensland University of Technology, Brisbane;Maebashi Institute of Technology, Maebashi
Venue:
IEEE Transactions on Knowledge and Data Engineering
Year:
2011

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Abstract

As a model for knowledge description and formalization, ontologies are widely used to represent user profiles in personalized web information gathering. However, when representing user profiles, many models have utilized only knowledge from either a global knowledge base or a user local information. In this paper, a personalized ontology model is proposed for knowledge representation and reasoning over user profiles. This model learns ontological user profiles from both a world knowledge base and user local instance repositories. The ontology model is evaluated by comparing it against benchmark models in web information gathering. The results show that this ontology model is successful.