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New Technology of Library and Information Service  2005, Vol. 21 Issue (11): 86-90    DOI: 10.11925/infotech.1003-3513.2005.11.18
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Parsing XML Document with JDOM and Its Application in Data Exchange
Zhang Hua   Dong Hui
( School of Information Management of Wuhan University, Wuhan 430072, China)
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Abstract  

XML has been becoming the criterion of international interchange, and Java is well known of its remarkable characteristic—platform-independence. This paper tries to combine their advantages, using JDOM to extract the useful data from database and save them as XML document according to specified style in order to meet the needs of data being displayed in multiple expressions and exchanged in the heterogeneous database environment.

Key wordsJava      XML      SAX      DOM      JDOM     
Received: 12 August 2005      Published: 25 November 2005
: 

G250.73

 
Corresponding Authors: Zhang Hua     E-mail: lhjsh@126.com
About author:: Zhang Hua,Dong Hui

Cite this article:

Zhang Hua,Dong Hui. Parsing XML Document with JDOM and Its Application in Data Exchange. New Technology of Library and Information Service, 2005, 21(11): 86-90.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2005.11.18     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2005/V21/I11/86

1[美]McLaughlin,B著,刘基诚译.Java与XML.第二版,北京:中国电力出版社,2003
2[美]Horstman.C.S等著,程峰等译. Java2核心技术卷Ⅰ.第六版,北京:机械工业出版社,2003
3杨红,田富鹏,王礼刚.Java和XML实现异构数据库环境下的数据抽取西北民族大学学报(自然科学版),2004(25):53
4XML的四种解析器原理及性能分析比较http://www.ccw.com.cn/soft/apply/programming/htm2004/20041209_1441K_2.htm(Accesed Dec.8, 2004)
5http://www.jdom.org(Accesed Dec.8, 2004)
6使用JDBC将数据抽取到XML中http://www-900.ibm.com/developerWorks/cn(Accesed Dec.8, 2004)

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