• 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