A mobile-based emergency response system for intelligent m-government services

Amailef, K; Lu, J

A mobile-based emergency response system for intelligent m-government services

Amailef, K Lu, J

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Publication Type:: Journal Article
Citation:: Journal of Enterprise Information Management, 2011, 24 (4), pp. 338 - 359
Issue Date:: 2011-07-01

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Field	Value	Language
dc.contributor.author	Amailef, K	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.date.issued	2011-07-01	en_US
dc.identifier.citation	Journal of Enterprise Information Management, 2011, 24 (4), pp. 338 - 359	en_US
dc.identifier.issn	1741-0398	en_US
dc.identifier.uri	http://hdl.handle.net/10453/18288
dc.description.abstract	Purpose: The purpose of this paper is to present an intelligent mobile based emergency response system (MERS) framework, a text information extraction and aggregation algorithm to integrate information from multiple sources in the MERS system, and an ontology-supported case-based reasoning system for the MERS system. Design/methodology/approach: The paper explains the components of information extraction and aggregation process, and a CBR-Ontology approach for the MERS system. Findings: The result of this study will offer a new opportunity to the interaction between government, citizens, responders, and other non-government agencies in emergency situations, and therefore improve the services of the government in an emergency situation. Originality/value: The paper indicates the need for usage of mobile technologies to assist the government to get information and make decisions in responding to disasters anytime and anywhere. © Emerald Group Publishing Limited.	en_US
dc.relation.ispartof	Journal of Enterprise Information Management	en_US
dc.relation.isbasedon	10.1108/17410391111148585	en_US
dc.subject.classification	Business & Management	en_US
dc.title	A mobile-based emergency response system for intelligent m-government services	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	24	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	0807 Library and Information Studies	en_US
utslib.for	1503 Business and Management	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	24	en_US

Abstract:

Purpose: The purpose of this paper is to present an intelligent mobile based emergency response system (MERS) framework, a text information extraction and aggregation algorithm to integrate information from multiple sources in the MERS system, and an ontology-supported case-based reasoning system for the MERS system. Design/methodology/approach: The paper explains the components of information extraction and aggregation process, and a CBR-Ontology approach for the MERS system. Findings: The result of this study will offer a new opportunity to the interaction between government, citizens, responders, and other non-government agencies in emergency situations, and therefore improve the services of the government in an emergency situation. Originality/value: The paper indicates the need for usage of mobile technologies to assist the government to get information and make decisions in responding to disasters anytime and anywhere. © Emerald Group Publishing Limited.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/18288