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

Abstract

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.