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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Luan, XD., Xie, YX., Wu, LD., Mao, CL., Lao, SY. (2006). Information Assistant: An Initiative Topic Search Engine. In: Yeung, D.S., Liu, ZQ., Wang, XZ., Yan, H. (eds) Advances in Machine Learning and Cybernetics. Lecture Notes in Computer Science(), vol 3930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11739685_33
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DOI: https://doi.org/10.1007/11739685_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33584-9
Online ISBN: 978-3-540-33585-6
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