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New Technology of Library and Information Service  2005, Vol. 21 Issue (5): 27-29    DOI: 10.11925/infotech.1003-3513.2005.05.06
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Modeling of Personalized Pushing System Using UML
Qu Fang1,2   Sun Yong2
1 (Library of Xuzhou Normal University,Xuzhou 221116, China)
2 (Computer Science and Technology School,Suzhou University,Suzhou 215006,China)  
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Abstract  

In this paper content of libaray personalize service is summarized, system analysis modeling is completed with UML and ROSE. Case diagram is used in analizing and interactice digram, class digram,component diagram are also used in design.

Key wordsUML      Personalize      Pushing      Libarary      Model     
Received: 24 December 2004      Published: 25 May 2005
: 

G250 

 
     
  TP399

 
Corresponding Authors: Qu Fang     E-mail: qf@xznu.edu.cn
About author:: Qu Fang,Sun Yong

Cite this article:

Qu Fang,Sun Yong. Modeling of Personalized Pushing System Using UML. New Technology of Library and Information Service, 2005, 21(5): 27-29.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2005.05.06     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2005/V21/I5/27

1施昊华,张朝辉. UML面向对象结构设计与应用. 国防工业出版社. 2003
2[美]Martin Fowler,Kendall Scott著,徐家福译. UML精粹 第2版 标准对象建模语言简明指南. 清华大学出版社,2000
3焦玉英, 柯青. 统一建模语言在网络主动推送系统设计中的应用. 中国图书馆学报,2003(5):57-60
4Wendy Boggs,Michael Boggs著,邱仲潘等译,UML与Rational Rose 2002从入门到精通北京:电子工业出版社,2002:17-18
5宋丽哲,牛振东,宋瀚涛,师雪霖,孙一钢. 数字图书馆的个性化服务计算机工程,2004(2):46-48
6冀振燕UML系统分析设计与应用案例——人民邮电出版社,2003:80-81

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