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New Technology of Library and Information Service  2006, Vol. 1 Issue (12): 16-20    DOI: 10.11925/infotech.1003-3513.2006.12.05
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Design and Framework of Electronic Theses and Dissertation  System of Chinese Academy of Sciences Based on KOS
Li JunlianWang FangZhang GuiyingChang ChunWang LiNi Jing6
1(Institute of Medical Information / Medical Library, CAMS & PUMC, Beijing 100020,China)
2(Library of Chinese Academy of Sciences, Beijing 100080,China)
3(Institute of Automation Chinese Academy of Science, Beijing 100080,China)
4(Agricultural Information Institute of CAAS, Beijing 100081,China)
5(Institute of Scientific & Technical Information of China, Beijing 100038,China)
6(Economics and Management School, Beijing Institute of Petrochemical Technology, Beijing 102617,China)
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Abstract  

This paper describes the design and implementation of the Electronic Theses and Dissertations System of Chinese Academy of Sciences based on KOS, briefly completing the analyzis and design the system function and user interface, and introducing the project feasibility plan.

Key wordsElectronic theses and dissertations      KOS      Ontology      Associated retrieval      User interface     
Received: 18 August 2006      Published: 25 December 2006
ZTFLH: 

G254

 
Corresponding Authors: Li Junlian     E-mail: Lijl@imicams.ac.cn
About author:: Li Junlian,Wang Fang,Zhang Guiying,Chang Chun,Wang Li,Ni Jing

Cite this article:

Li Junlian,Wang Fang,Zhang Guiying,Chang Chun,Wang Li,Ni Jing . Design and Framework of Electronic Theses and Dissertation  System of Chinese Academy of Sciences Based on KOS. New Technology of Library and Information Service, 2006, 1(12): 16-20.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2006.12.05     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2006/V1/I12/16

1杜文华.本体构建方法比较研究.情报杂志,2005(10):24-25
2肖敏. 领域本体构建方法研究.情报杂志,2006(2):70-74
3Qin, Jian & Paling, Stephen. Converting a controlled vocabulary into an ontology: the case of GEM.http://InformationR.net/ir/6-2/paper94.html(Accessed Jun.29,2006)
4黄伟,金远平. 形式概念分析在本体构建中的应用. 微机发展,2005(2):28-31
5Protégé OWL网站. http://protege.stanford.edu/plugins/owl/(Accessed Oct.17,2006)
6DSpace网站. http://www.dspace.org(Accessed Apr.28,2006/May.26,2006)
7专门数字对象描述元数据规范.http://cdls.nstl.gov.cn/2003/SpcMetadata/(Accessed Jun.7,2004/May.26,2006)
8黄晓斌,卢琰. 论数字图书馆用户界面的评价.图书馆论坛.2005(6):16-19

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