Development and validation of a Disaster Management Metamodel (DMM)

Othman, SH; Beydoun, G; Sugumaran, V

Development and validation of a Disaster Management Metamodel (DMM)

Othman, SH Beydoun, G

Sugumaran, V

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Publication Type:: Journal Article
Citation:: Information Processing and Management, 2014, 50 (2), pp. 235 - 271
Issue Date:: 2014-03-01

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Field	Value	Language
dc.contributor.author	Othman, SH	en_US
dc.contributor.author	Beydoun, G https://orcid.org/0000-0001-8087-5445	en_US
dc.contributor.author	Sugumaran, V	en_US
dc.date.issued	2014-03-01	en_US
dc.identifier.citation	Information Processing and Management, 2014, 50 (2), pp. 235 - 271	en_US
dc.identifier.issn	0306-4573	en_US
dc.identifier.uri	http://hdl.handle.net/10453/118758
dc.description.abstract	Disaster Management (DM) is a diffused area of knowledge. It has many complex features interconnecting the physical and the social views of the world. Many international and national bodies create knowledge models to allow knowledge sharing and effective DM activities. But these are often narrow in focus and deal with specified disaster types. We analyze thirty such models to uncover that many DM activities are actually common even when the events vary. We then create a unified view of DM in the form of a metamodel. We apply a metamodelling process to ensure that this metamodel is complete and consistent. We validate it and present a representational layer to unify and share knowledge as well as combine and match different DM activities according to different disaster situations. © 2013 Elsevier Ltd. All rights reserved.	en_US
dc.relation.ispartof	Information Processing and Management	en_US
dc.relation.isbasedon	10.1016/j.ipm.2013.11.001	en_US
dc.subject.classification	Information & Library Sciences	en_US
dc.title	Development and validation of a Disaster Management Metamodel (DMM)	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	50	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	0804 Data Format	en_US
utslib.for	0807 Library and Information Studies	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/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
utslib.copyright.status	closed_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	50	en_US

Abstract:

Disaster Management (DM) is a diffused area of knowledge. It has many complex features interconnecting the physical and the social views of the world. Many international and national bodies create knowledge models to allow knowledge sharing and effective DM activities. But these are often narrow in focus and deal with specified disaster types. We analyze thirty such models to uncover that many DM activities are actually common even when the events vary. We then create a unified view of DM in the form of a metamodel. We apply a metamodelling process to ensure that this metamodel is complete and consistent. We validate it and present a representational layer to unify and share knowledge as well as combine and match different DM activities according to different disaster situations. © 2013 Elsevier Ltd. All rights reserved.

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

http://hdl.handle.net/10453/118758