• DocumentCode
    2015885
  • Title

    An intelligent model for the assessment of Chinese E-government based on content mining

  • Author

    Fu, Huijuan ; Ren, Xiaodong ; Wu, Shangru ; Wang, Xincai

  • Author_Institution
    Sch. of Inf. Manage., Wuhan Univ., Wuhan, China
  • fYear
    2010
  • fDate
    16-18 Aug. 2010
  • Firstpage
    235
  • Lastpage
    238
  • Abstract
    This paper briefly analyzes the current research on E-government system assessment methods, and suggests that realizing automatic detection is the trend of establishing appraisal index system due to an increasing number of humanized services provided. Based on the performance evaluation of government websites in recent years, the factors that influence the construction level of local government websites are summarized. Then, according to the core assessment index announced by Chinese government and present technology application, an intelligent model based on content mining is proposed to evaluate the performance of government website, which validated by the empirical study of Hubei government website. In the end, this paper explores the current situation and development trend of government websites in China by comparatively analyzing 24 government websites including Hong Kong, Macao, Municipalities and provinces of eastern, central and western area. Thus, some reasonable suggestions are put forward.
  • Keywords
    Web sites; data mining; government data processing; local government; appraisal index system; assessment index; automatic detection; chinese e-government assessment; content mining; government website; humanized services; intelligent model; performance evaluation; Bismuth; Gallium nitride; Government; Manuals; Content mining; E-government; Government website; Intelligent assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Content, Multimedia Technology and its Applications (IDC), 2010 6th International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-7607-7
  • Electronic_ISBN
    978-8-9886-7827-5
  • Type

    conf

  • Filename
    5568698