Issue No. 04 - April (2011 vol. 23)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TKDE.2010.145
Xiaohui Tao , Queensland University of Technology, Brisbane
Yuefeng Li , Queensland University of Technology, Brisbane
Ning Zhong , Maebashi Institute of Technology, Maebashi
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.
Ontology, personalization, semantic relations, world knowledge, local instance repository, user profiles, web information gathering.
X. Tao, Y. Li and N. Zhong, "A Personalized Ontology Model for Web Information Gathering," in IEEE Transactions on Knowledge & Data Engineering, vol. 23, no. , pp. 496-511, 2010.