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CLC number: TP391

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Received: 2005-03-25

Revision Accepted: 2005-05-20

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Journal of Zhejiang University SCIENCE A 2005 Vol.6 No.7 P.683~688

http://doi.org/10.1631/jzus.2005.A0683


A dynamic knowledge base based search engine


Author(s):  WANG Hui-jin, HU Hua, LI Qing

Affiliation(s):  Department of Computer Science, Jinan University, Guangzhou 510632, China; more

Corresponding email(s):   twang21cn@21cn.com, huhua@mail.hzic.edu.cn

Key Words:  Dynamic knowledge base, Query expansion, Information retrieval, Search engine


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.

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author="WANG Hui-jin, HU Hua, LI Qing",
journal="Journal of Zhejiang University Science A",
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T1 - A dynamic knowledge base based search engine
A1 - WANG Hui-jin
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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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[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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