Information assistant: an initiative topic search engine

Authors:
Xi-Dao Luan;Yu-Xiang Xie;Ling-Da Wu;Chi-Long Mao;Song-Yang Lao
Affiliations:
Centre for Multimedia Technology, National University of Defense Technology, Changsha, China;Centre for Multimedia Technology, National University of Defense Technology, Changsha, China;Centre for Multimedia Technology, National University of Defense Technology, Changsha, China;Centre for Multimedia Technology, National University of Defense Technology, Changsha, China;Centre for Multimedia Technology, National University of Defense Technology, Changsha, China
Venue:
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Year:
2005

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Abstract

The problems of information overload with the use of search engines and the temporal efficiency loss of the indexed data have been significant barriers in the further development of the Internet. In this paper, a new knowledge based initiative topic search engine called Information Assistant is designed and realized. It breaks through the traditional passive service style of the search engine, and solves the problem of topic information collection and downloading from the Internet. Its design, which is based on the knowledge base, raises the precision and the recall of the information retrieved. It also probes into the works of the structure and content mining of web pages. Experiments prove the efficiency of the search engine.