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New Technology of Library and Information Service  2006, Vol. 1 Issue (7): 66-72    DOI: 10.11925/infotech.1003-3513.2006.07.15
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System Modeling of E-Government Based on Unified Modeling Language
Wang Hao
(Department of Information Management, Nanjing University,Nanjing 210093,China)
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This article mainly discusses how to using Object-Oriented(OO) Unified Modeling Language(UML) to realize the system modeling of E-Government of construction committee of Nanjing(NJJWEG). Introduces the theories of E-Government and the modeling mechanism of UML; then, summarizes the function of NJJWEG and methods and flat of system modeling; detail use-case modeling, construction modeling, component modeling, deployment modeling and dynamic modeling based on UML and the description of the model; in the end, debates the research hotspots and research aspects in the future.

Key wordsE-Government      Unified modeling language      UML diagram      Modeling      Use-case     
Received: 26 April 2006      Published: 25 June 2006


Corresponding Authors: Wang Hao     E-mail:
About author:: Wang Hao

Cite this article:

Wang Hao . System Modeling of E-Government Based on Unified Modeling Language. New Technology of Library and Information Service, 2006, 1(7): 66-72.

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1杨斌,朱仲英. 电子政务——信息技术与信息产业的新机遇. 微型电脑应用,2003(9):5-8,23
2苏新宁,孔敏,俞华,朱晓峰. 电子政务理论. 北京:国防工业出版社,2003
3(美)Jason T.Roff著,张瑜,杨继萍译. UML基础教程. 北京:清华大学出版社,2003
4张龙样. UML与系统分析设计. 北京:人民邮电出版社,2001
5陆晓燕,秦朝辉,尹治本. UML建模技术及其应用. 成都信息工程学院学报,2004(3):414-417
6孙正兴,戚鲁. 电子政务原理与技术. 北京:人民邮电出版社,2003,4
7(美)Joseph Schmuller著,李虎,赵尤刚译. UML基础、案例与应用(第三版). 北京:人民邮电出版社,2004

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