Metamodelling approach towards a disaster management decision support system

Authors:
Siti Hajar Othman;Ghassan Beydoun
Affiliations:
School of Information Systems and Technology, Faculty of Informatics, University of Wollongong, Wollongong, NSW, Australia;School of Information Systems and Technology, Faculty of Informatics, University of Wollongong, Wollongong, NSW, Australia
Venue:
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Year:
2010

Citing 2
Cited 2

A security-aware metamodel for multi-agent systems (MAS)

Information and Software Technology
FAML: A Generic Metamodel for MAS Development

IEEE Transactions on Software Engineering

Evaluating disaster management knowledge model by using a frequency-based selection technique

PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
Development and validation of a Disaster Management Metamodel (DMM)

Information Processing and Management: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Expertise in disaster management (DM) is scarce and often unavailable in a timely manner. Moreover, it is not timely shared as it is often perceived as too tied to kinds of events (floods, bushfires, tsunamis, pandemic or earthquake), leading to catastrophic consequences. In this paper, we lay out a framework to create a decision support system to unify, facilitate and expedite access to DM expertise. We observe that many DM activities are actually common even when the events vary. We provide ontology as a metamodel to describe the various DM activities and desired outcomes. This ontology will serve as a representational layer of DM expertise leading to a DM decision support system based on combining and matching different DM activities according to the disaster on hand.