Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (2008)
Dec. 9, 2008 to Dec. 12, 2008
Retrieving accurate information from the Web is a great challenge to users. The existing information retrieval systems are mostly term-based and thus need to be enhanced toward knowledge-based. User information needs need to be better captured in order to deliver personalized search results. In this paper, an ontology-based framework is proposed for capturing user information needs using a world knowledge base and the user's local instance repository. The framework aims to discover a user's background knowledge for knowledge retrieval. The evaluation result is encouraging, in which the proposed model achieved the same performance as a manual user model.
Knowledge retrieval, Ontology, User information needs, User background knowledge
X. Tao, Y. Li, R. Nayak and N. Zhong, "An Ontology-Based Framework for Knowledge Retrieval," Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on(WI-IAT), vol. 01, no. , pp. 510-517, 2008.