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New Technology of Library and Information Service  2009, Vol. 25 Issue (7-8): 38-42    DOI: 10.11925/infotech.1003-3513.2009.07-08.08
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Research on Building Intelligent IETM Knowledge-base Based on S1000D
Xue Jianwu    Min Yan    Chen Na
(School of Management, Northwestern Polytechnical University, Xi’an 710072, China)
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Theoretically based on Ontology,this paper researches on the semantic reasoning and data storage of the intelligent IETM knowledge-base, which is based on the latest international standards ASD S1000D4.0.It applies Protégé to design a model of intelligent IETM knowledge-base, and then approves the model by instance.

Key wordsIntelligent      IETM      S1000D      Knowledge-base      Ontology     
Received: 11 June 2009      Published: 25 August 2009


Corresponding Authors: Xue Jianwu     E-mail:
About author:: Xue Jianwu,Min Yan,Chen Na

Cite this article:

Xue Jianwu,Min Yan,Chen Na. Research on Building Intelligent IETM Knowledge-base Based on S1000D. New Technology of Library and Information Service, 2009, 25(7-8): 38-42.

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[1] Jorgensen E L. DoD Classes of Electronic Technical Manuals [M]. West Bethesda: CDNSWC, 1994.
[2] Aerospace and Defence Industries Association of Europe. ASD S1000D: International Specification for Technical Publications Utilizing a Common Source Data Base, Issue4.0 [S].2008.
[3] 李景.本体理论及在农业文献检索系统中的应用研究[D].北京:中国科学院国家科学图书馆,2004:1-5.
[4] 李凌志.基于本体的知识库系统构建研究[J].科技情报开发与经济,2007,17(36):102-104.
[5] Zhou X, Han H, Chankai I, et al. Approaches to Text Mining for Clinical Medical Records[C].In:Proceedings of the 2006 ACM Symposium on Applied Computing. 2006:235-239.
[6] 何庆,汤庸,黄永钊.基于本体的法律知识库的研究与实现[J].计算机科学,2007, 34(2):175-177.
[7] 陈焱,姜慧敏.医学领域本体研究现状[J].情报科学,2006,24(10):1588-1590.
[8] 韩婕,向阳.本体构建研究综述[J].计算机应用与软件,2007,24(9):21-23.
[9] 邸强,唐元虎,张超.企业知识库的构建和管理研究[J].情报科学,2005,23(7):1045-1048. 

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