The Search Technology of Query Expansion Based on the Agriculture Information

Article Preview

Abstract:

Because of the rapid development of Internet and information retrieval technology, and the massive amounts of complex agriculture information resources, how to retrieval the required information conveniently and accurately is an important research point that we have to overcome. In this paper, we get the information database through the initial retrieve of the existing agricultural search sites. By the method of combining the feature extraction with similarity computation based on HowNet to query extended the keyword. With the extended keyword we make a second retrieval and use the result as the finally search information to improve the recall ratio and the precision rate of the agriculture information query.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 712-715)

Pages:

2550-2555

Citation:

Online since:

June 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Dong zhenhua, Dong qiang. HowNet Introduction[EB/OL] http://www.keenage.com/

Google Scholar

[2] Zheng ting, Zheng cheng. The semantic retrieval system based on lucene[J]. Computer Engineering, 2008,34(16): 92---94

Google Scholar

[3] Zhao lin, Hu tian etc. The concept feature extraction method based on HowNet[J]. Journal on Communications, 2004,07

Google Scholar

[4] Li qun, Li sujian. The lexical semantic similarity calculation based on HowNet[C]. The third Chinese vocabulary semantics conference, Taipei, 2002,05

Google Scholar

[5] Wu chen, Zhang quan etc. The natural language processing under the semantic understanding and the information retrieval model[J]. Computer Science, 2008,35(5):113---117

Google Scholar

[6] Huang minxuan. The information retrieval system model under the fusion of feature extraction and inquire expansion [J]. Journal of Information, 2011,30(11):162---165

Google Scholar