Towards knowledge sharing in disaster management: An agent oriented knowledge analysis framework

Inan, DI; Beydoun, G; Opper, S

Towards knowledge sharing in disaster management: An agent oriented knowledge analysis framework

Inan, DI Beydoun, G

Opper, S

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Publication Type:: Conference Proceeding
Citation:: ACIS 2015 Proceedings - 26th Australasian Conference on Information Systems, 2015
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Inan, DI	en_US
dc.contributor.author	Beydoun, G https://orcid.org/0000-0001-8087-5445	en_US
dc.contributor.author	Opper, S	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	ACIS 2015 Proceedings - 26th Australasian Conference on Information Systems, 2015	en_US
dc.identifier.isbn	9780646953373	en_US
dc.identifier.uri	http://hdl.handle.net/10453/88974
dc.description.abstract	© 2015 Dedi Iskandar Inan, Ghassan Beydoun and Simon Opper. Disaster Management (DM) is a complex set of interrelated activities. The activities are often knowledge intensive and time sensitive. Sharing the required knowledge timely is critical for DM. In developed countries, for recurring disasters (e.g. floods), there are dedicated document repositories of Disaster Management Plans (DMP) that can be accessed as needs arise. However, accessing the appropriate plan in a timely manner and sharing activities between plans often requires domain knowledge and intimate knowledge of the plans in the first place. In this paper, we introduce an agent-based knowledge analysis method to convert DMPs into a collection of knowledge units that can be stored into a unified repository. The repository of DM actions then enables the mixing and matching knowledge between different plans. The repository is structured as a layered abstraction according to Meta Object Facility (MOF). We use the flood management plans used by SES (State Emergency Service), an authoritative DM agency in NSW (New State Wales) State of Australia to illustrate and give a preliminary validation of the approach. It is illustrated using DMPs along the flood prone Murrumbidgee River in central NSW.	en_US
dc.relation.ispartof	ACIS 2015 Proceedings - 26th Australasian Conference on Information Systems	en_US
dc.title	Towards knowledge sharing in disaster management: An agent oriented knowledge analysis framework	en_US
dc.type	Conference Proceeding
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.publication-status	Published	en_US

Abstract:

© 2015 Dedi Iskandar Inan, Ghassan Beydoun and Simon Opper. Disaster Management (DM) is a complex set of interrelated activities. The activities are often knowledge intensive and time sensitive. Sharing the required knowledge timely is critical for DM. In developed countries, for recurring disasters (e.g. floods), there are dedicated document repositories of Disaster Management Plans (DMP) that can be accessed as needs arise. However, accessing the appropriate plan in a timely manner and sharing activities between plans often requires domain knowledge and intimate knowledge of the plans in the first place. In this paper, we introduce an agent-based knowledge analysis method to convert DMPs into a collection of knowledge units that can be stored into a unified repository. The repository of DM actions then enables the mixing and matching knowledge between different plans. The repository is structured as a layered abstraction according to Meta Object Facility (MOF). We use the flood management plans used by SES (State Emergency Service), an authoritative DM agency in NSW (New State Wales) State of Australia to illustrate and give a preliminary validation of the approach. It is illustrated using DMPs along the flood prone Murrumbidgee River in central NSW.

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http://hdl.handle.net/10453/88974