By Topic

Text Mining on Semi-structured E-Government Digital Archives of China

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Hui Dong ; Center for the Studies of Inf. Resources (CSIR), Wuhan Univ., Wuhan, China ; Siwei Yu ; Ying Jiang

The Chinese government has devoted to e-government development for decades. Digital archives have been built up in almost every level of Chinese government hierarchy. The structure features of the archives in Chinese government are discussed first in this paper. Then, it proposes a practical approach for text mining of these semi-structured archives. With the help of semantic Web related technology, knowledge extracted through mining can be stored and managed in ontology base for administrators, and can be retrieved through ontology presentation system for end-users. Finally, a case study in a provincial archives bureau of China is introduced, which shows that knowledge among the archives especially dynamic knowledge can be easily mined and utilized in this way. It helps a lot in policy making, emergency decision support, and government routines.

Published in:

Web Mining and Web-based Application, 2009. WMWA '09. Second Pacific-Asia Conference on

Date of Conference:

6-7 June 2009