Please wait a minute...
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
Current Issue | Archive | Adv Search |
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)
Download: PDF (578 KB)  
Export: BibTeX | EndNote (RIS)      

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


Corresponding Authors: Luo Changshou     E-mail:
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:     OR

[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].
[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].
[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.

[1] Yin Xiangquan,Li Shuning. Analyzing Website Navigation Features of Top U.S. Academic Libraries[J]. 数据分析与知识发现, 2017, 1(3): 90-95.
[2] Tan Xueqing, Zhou Tong, Luo Lin. A Text Classification Algorithm Based on the Average Category Similarity[J]. 现代图书情报技术, 2014, 30(9): 66-73.
[3] Shen Gengyu, Huang Shuiqing, Wang Dongbo. On the Scientific Research Teams Identification Method Taking Co-authorship of Collaboration as the Source Data[J]. 现代图书情报技术, 2013, 29(1): 57-62.
[4] Tian Jinfeng, Zeng Xinhong, Huang Huajun, Lin Weiming. Research on Automatic Construction of Definition Notes for Concepts in OntoThesaurus[J]. 现代图书情报技术, 2011, (11): 9-16.
[5] Wang Kai,Wang Chaofei. A Table Retrieval Algorithm Based on the Vector Space Model[J]. 现代图书情报技术, 2010, 26(4): 41-45.
[6] Chen Bing,Tai Xiaoying. Semantic Retrieval Using Ontology and Document Refinement[J]. 现代图书情报技术, 2009, 25(12): 42-46.
[7] Li Lei,Zhou Guomin . A Personalized Search Engine System[J]. 现代图书情报技术, 2007, 2(1): 81-85.
[8] Bai Rujiang . A Hybrid Classifier Based on the Rough Sets and RBF Neural Networks[J]. 现代图书情报技术, 2006, 1(6): 47-51.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938