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
Link To Document :
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