Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25006
Title: An unstructured information management system (UIMS) for emergency management
Authors: Lee, WB 
Wang, Y
Wang, WM
Cheung, CF 
Keywords: Emergency management
Knowledge elicitation
Knowledge management
Knowledge-based system
Multi-faceted navigation
Unstructured information management
Issue Date: 2012
Publisher: Pergamon Press
Source: Expert systems with applications, 2012, v. 39, no. 17, p. 12743-12758 How to cite?
Journal: Expert systems with applications 
Abstract: Emergency management has drawn the attention of governments worldwide. It is an emerging realm for governments and organizations to respond to sudden catastrophic events rapidly and effectively during a crisis, e.g. social unrest, natural disaster, unforeseen event, and so on. There is a lot of information and knowledge involved in emergency management. The key question is how to search for the appropriate information and knowledge quickly and accurately from the massive information and knowledge based on the nature, characteristics, status and situations of the unexpected emergency in order to support the intelligent decision-making process in handling emergencies. In this paper, an unstructured information management system (UIMS) is presented for emergency management. A concept relationship model (CRM) and a dynamic knowledge flow model (DKFM) of the emergency incidence have been built to organize and represent emergency knowledge. The models can support decision-makers to have better understanding of the dependence and degree of correlation between different concepts about the emergency in order to make the appropriate decisions. The system is trial implemented in a city emergency management system and its performance is evaluated and discussed.
URI: http://hdl.handle.net/10397/25006
ISSN: 0957-4174
EISSN: 1873-6793
DOI: 10.1016/j.eswa.2012.02.037
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

11
Last Week
0
Last month
0
Citations as of Aug 19, 2017

WEB OF SCIENCETM
Citations

6
Last Week
0
Last month
0
Citations as of Aug 13, 2017

Page view(s)

31
Last Week
0
Last month
Checked on Aug 14, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.