Journal
DECISION SUPPORT SYSTEMS
Volume 55, Issue 1, Pages 79-97Publisher
ELSEVIER
DOI: 10.1016/j.dss.2012.12.034
Keywords
Emergency response systems; Ontology; Case-based reasoning; m-Government; Mobile-based systems; Information extraction
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Funding
- Australian Research Council (ARC) [DP0880739]
- Australian Research Council [DP0880739] Funding Source: Australian Research Council
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There is a critical need to develop a mobile-based emergency response system (MERS) to help reduce risks in emergency situations. Existing systems only provide short message service (SMS) notifications, and the decision support is weak, especially in man-made disaster situations. This paper presents a MERS ontology-supported case-based reasoning (OS-CBR) method, with implementation, to support emergency decision makers to effectively respond to emergencies. The advantages of the OS-CBR approach is that it builds a case retrieving process, which provides a more convenient system for decision support based on knowledge from, and solutions provided for past disaster events. The OS-CBR approach includes a set of algorithms that have been successfully implemented in four components: data acquisition; ontology; knowledge base; and reasoning; as a sub-system of the MERS framework. A set of experiments and case studies validated the OS-CBR approach and application, and demonstrate its efficiency. Crown Copyright (c) 2013 Published by Elsevier B.V. All rights reserved.
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