An Ontology-Based Framework for Knowledge Retrieval

Xiaohui Tao, Yuefeng Li, Ning Zhong, Richi Nayak
2008 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
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
more » ... ground knowledge for knowledge retrieval. The evaluation result is encouraging, in which the proposed model achieved the same performance as a manual user model.
doi:10.1109/wiiat.2008.226 dblp:conf/webi/TaoLZN08 fatcat:l52qvkelubfvxpjtmteacpmfwe