An Ontology-Supported CBR System for a Mobile-Based Emergency response system

World Scientific
Publication Type:
Conference Proceeding
Intelligent Decision Making Systems: Proceedings of the 4th International ISKE Conference, 2010, pp. 261 - 266
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A mobile-based emergency response system (MERS), as one of the important Mobile Government (m-Government) services, aims to reduce risks in an emergency situation. This paper presents a system basedon case-based reasoning (CBR) approach combined with domain ontology to support emergency decision makers for the MERS. The benefit of using this system is to let the retrieving process more convenient in order to depict conclusions and to give recommendations based on theknowledge from thepast disaster event occurs. The system mainly consists of five components: data acquisition; ontology; knowledge base; CBR system; and situation assessment.
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