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