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CLC number: TP391
On-line Access:
Received: 2005-03-25
Revision Accepted: 2005-05-20
Crosschecked: 0000-00-00
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A dynamic knowledge base based search engine
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WANG Hui-jin, HU Hua, LI Qing. A dynamic knowledge base based search engine[J]. Journal of Zhejiang University Science A, 2005, 6(7): 683-688.
@article{title="A dynamic knowledge base based search engine",
author="WANG Hui-jin, HU Hua, LI Qing",
journal="Journal of Zhejiang University Science A",
volume="6",
number="7",
pages="683-688",
year="2005",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2005.A0683"
}
%0 Journal Article
%T A dynamic knowledge base based search engine
%A WANG Hui-jin
%A HU Hua
%A LI Qing
%J Journal of Zhejiang University SCIENCE A
%V 6
%N 7
%P 683-688
%@ 1673-565X
%D 2005
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2005.A0683
TY - JOUR
T1 - A dynamic knowledge base based search engine
A1 - WANG Hui-jin
A1 - HU Hua
A1 - LI Qing
J0 - Journal of Zhejiang University Science A
VL - 6
IS - 7
SP - 683
EP - 688
%@ 1673-565X
Y1 - 2005
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2005.A0683
Abstract: search engines have greatly helped us to find the desired information from the Internet. Most search engines use keywords matching technique. This paper discusses a dynamic knowledge base based search engine (DKBSE), which can expand the user’s query using the keywords’ concept or meaning. To do this, the DKBSE needs to construct and maintain the knowledge base dynamically via the system’s searching results and the user’s feedback information. The DKBSE expands the user’s initial query using the knowledge base, and returns the searched information after the expanded query.
[1] Broglio, J., Callan, J.P., Croft, W.B., 1994. INQUERY System Overview. http://ciir.cs.umass.edu/.
[2] Li, L., Wang, N., Zhang, J., 2000a. A probe on Chinese concept_based retrieval. Computer Engineering and Application, 6:1-3.
[3] Luo, S.D., Huang, Y., 2001. A search engine based on a concept_network which can teach itself automatically. Computer Engineering, 9:89-92.
[4] Sanderso, M., Croft, W.B., 1999. Deriving Concept Hierarchies from Text. http://ciir.cs.umass.edu/.
[5] Van Rijsbergen, C.J., 1979. Information Retrieval (Second Edition). http://ciir.cs.umass.edu/.
[6] Wu, Y.F., 1999. Automatic Concept Hierarchies Development: A Revised Subsumption Approach. State University of New York, Albany.
[7] Xu, J.X., 1997. Solving the Word Mismatch Problem Through Automatic Text Analysis. http://ciir.cs.umass.edu/.
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