DM model transformations framework

Othman, SH; Beydoun, G; Clarke, R; Opper, S

DM model transformations framework

Othman, SH Beydoun, G

Clarke, R Opper, S

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 24th Australasian Conference on Information Systems, 2013
Issue Date:: 2013-01-01

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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	Clarke, R	en_US
dc.contributor.author	Opper, S	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	Proceedings of the 24th Australasian Conference on Information Systems, 2013	en_US
dc.identifier.isbn	9780992449506	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121051
dc.description.abstract	© 2013. Metamodelling produces a ‘metamodel’ capable of generalizing the domain. A metamodel gathers all domain concepts and their relationships. It enables partitioning a domain problem into sub-problems. Decision makers can then develop a variety of domain solutions models based on mixing and matching solutions for sub-problems indentified using the metamodel. A repository of domain knowledge structured using the metamodel would allow the transformation of models generated from a higher level to a lower level according to scope of the problem on hand. In this paper, we reveal how a process of mixing and matching disaster management actions can be accomplished using our Disaster Management Metamodel (DMM). The paper describes DM model transformations underpinned by DMM. They are illustrated benefiting DM users creating appropriate DM solution models from extant partial solutions.	en_US
dc.relation.ispartof	Proceedings of the 24th Australasian Conference on Information Systems	en_US
dc.title	DM model transformations framework	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	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.publication-status	Published	en_US

Abstract:

© 2013. Metamodelling produces a ‘metamodel’ capable of generalizing the domain. A metamodel gathers all domain concepts and their relationships. It enables partitioning a domain problem into sub-problems. Decision makers can then develop a variety of domain solutions models based on mixing and matching solutions for sub-problems indentified using the metamodel. A repository of domain knowledge structured using the metamodel would allow the transformation of models generated from a higher level to a lower level according to scope of the problem on hand. In this paper, we reveal how a process of mixing and matching disaster management actions can be accomplished using our Disaster Management Metamodel (DMM). The paper describes DM model transformations underpinned by DMM. They are illustrated benefiting DM users creating appropriate DM solution models from extant partial solutions.

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http://hdl.handle.net/10453/121051