DocumentCode
2551226
Title
Study on intelligent financial supervision management system based on context-awareness and rule engine
Author
Xu, Y.Z. ; Yang, J.J. ; Wang, Q.
Author_Institution
Res. Inst. of Inf. Technol., Tsinghua Univ., Beijing, China
fYear
2009
fDate
21-23 Oct. 2009
Firstpage
675
Lastpage
679
Abstract
The financial crisis triggered by the US credit crisis has given enormous damage to the world. Although domestic financial industry is booming and not yet been fully linked with the international economy, it still suffers a lot in the financial crisis. In order to prevent the economic losses caused by the financial events and keep the stability of the financial development, it is necessary to build an efficient financial supervision for analysis and early warning. Therefore, this paper introduces the context-awareness and rule engine technology to improve the traditional financial supervision mechanism based on the analysis of current supervision system status and the existing problems. And then we integrate context with the course of the financial supervision. At last, this paper focus on the key technologies such as context-awareness, rule engine and metadata management, which will provide a new way to improve the operational effectiveness of the supervision mechanism.
Keywords
financial management; knowledge based systems; macroeconomics; ubiquitous computing; US credit crisis; context-awareness technology; financial crisis; intelligent financial supervision management system; international economy; macroeconomics; metadata management; rule engine technology; Banking; Contingency management; Crisis management; Engines; Environmental economics; Financial management; Management information systems; Monitoring; Risk management; Technology management; Context-awareness; Financial Supervision Management; Intelligent System; Rule Engine;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3671-2
Electronic_ISBN
978-1-4244-3672-9
Type
conf
DOI
10.1109/ICIEEM.2009.5344504
Filename
5344504
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