DocumentCode :
3501465
Title :
The Classification for E-government Document Based on SVM
Author :
Jiang Yunliang ; Shen Qing ; Fan Jing ; Zhang Xiongtao
Author_Institution :
Coll. of Mathmatics Phys. & Inf., Zhejiang Normal Univ., Jinhua, China
Volume :
2
fYear :
2010
fDate :
23-24 Oct. 2010
Firstpage :
257
Lastpage :
260
Abstract :
The filing and classification of E-government document in E-government information system are accomplished manually, which restricts the government information technology seriously. To solve this problem, a classification algorithm for E-government document based on support vector machine is proposed. For the general workflow of E-government document circulation in the current information system, a scheme of the auto-classification and archiving based on service is presented so that it is realized in a heterogeneous information system. In this scheme, the original system is reused to create new value as much as possible and change of workflow is responded more rapidly. It is a new solution to the automatic E-government system.
Keywords :
classification; document handling; government data processing; records management; support vector machines; workflow management software; SVM; archiving; auto-classification; automatic e-government system; classification algorithm; e-government document circulation; e-government document classification; e-government document filing; e-government information system; government information technology; heterogeneous information system; support vector machine; workflow; E-government system; SVM; classification algorithm; document;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Information Systems and Mining (WISM), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8438-6
Type :
conf
DOI :
10.1109/WISM.2010.14
Filename :
5662411
Link To Document :
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