DocumentCode :
2902810
Title :
The Study on Early Warning of Online Public Crisis Based on Intelligent Meta Search Engine
Author :
Wang Zhan-ping ; Xiao, Xiao
Author_Institution :
Dept. of Inf. & Manage., Central China Normal Univ., Wuhan, China
fYear :
2011
fDate :
17-18 Oct. 2011
Firstpage :
9
Lastpage :
13
Abstract :
The development and application of Internet provides public organizations and individuals the access to express their opinions, thereby the focus of governmental management shift to the internet domain from the traditional field in dealing with the public crisis. By combining Agent Technique and Meta-search Engine Technique, the paper analyzes and designs its framework and functional modules of the online public crisis early warning system in the hope of realizing the intelligence, personalization and efficiency for the online public crisis early warning system.
Keywords :
Internet; government data processing; multi-agent systems; search engines; Internet; agent technique; governmental management; intelligent meta search engine technique; online public crisis early warning system; public organizations; Artificial intelligence; Engines; Internet; Metasearch; Search engines; Search problems; User interfaces; Agent technique; Crisis early warning; Online public crisis; intelligent meta-search engines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Intelligence and Financial Engineering (BIFE), 2011 Fourth International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-1541-9
Type :
conf
DOI :
10.1109/BIFE.2011.143
Filename :
6121077
Link To Document :
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