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New Technology of Library and Information Service  2009, Vol. 25 Issue (7-8): 70-74    DOI: 10.11925/infotech.1003-3513.2009.07-08.14
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Design and Implementation of Automatic Question-answering System About Agricultural Operative Technology Based on Web
Sun Sufen    Luo Changshou    Wei Qingfeng
(Institute of Information on Science and Technology of Agriculture, Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097,China)
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Abstract  

Supplemented by experts answer,an automatic question-answering system is developed based on the database of agricultual operative technology information, natural language understanding,the retrieval model of improved VSM and efficiency optimization. The system has features on the simple way of inquiry, accurate replies, professional answers  and high satisfaction.It is better able to meet the farmers’ need of production techniques.

Key wordsAutomatic question-answering system      Experts answer      VSM     
Received: 15 June 2009      Published: 25 August 2009
ZTFLH: 

TP391

 
Corresponding Authors: Luo Changshou     E-mail: luocs@agri.ac.cn
About author:: Sun Sufen,Luo Changshou,Wei Qingfeng

Cite this article:

Sun Sufen,Luo Changshou,Wei Qingfeng. Design and Implementation of Automatic Question-answering System About Agricultural Operative Technology Based on Web. New Technology of Library and Information Service, 2009, 25(7-8): 70-74.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2009.07-08.14     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2009/V25/I7-8/70

[1] 刘里,曾庆田.自动问答系统研究综述[J].山东科技大学学报:自然科学版,2007,26(4):73-76.
[2] Katz B, Marton  G, Borchardt  G,et al.The START Natural Language Question Answering System[EB/OL].[2009-05-20].http://start.csail.mit.edu.
[3] 樊孝忠,李宏乔,李良富,等.银行领域汉语自动问答系统BAQS的研究与实现[J].北京理工大学学报,2004,24(6):528-532.
[4] 陈林,杨丹,赵俊芹.基于语义理解的智能搜索引擎研究[J].计算机科学,2008,35(6):152-154.
[5] 北京农业数字信息资源中心[DB/OL].[2009-06-20]. http://new.agridata.gov.cn/web/default.aspx.
[6] 苏新宁.信息检索理论与技术[M].北京:科学技术文献出版社,2004:32-35.
[7] 陶跃华,孙茂松.基于潜语义标引的自然语言检索[J].现代图书情报技术,2001(5):40-41.
[8] Zhang L,Chen Z X,Huang  H Y. Design and Implementation of FAQ Automatic Return System Based on Similarity Computation[J].Wuhan University Journal of Natural Science,2006,11(1):138-142.
[9] 杨小平,丁浩,黄都培.基于向量空间模型的中文信息检索技术研究[J].计算机工程与应用,2003,39(15):109-111.
[10] 白曦,吕晓枫,孙吉贵.基于加权向量空间模型的网络搜索[J].计算机应用研究,2007,24(2):51-56.

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