Abstract:
Purpose: The purpose of this paper is to present an intelligent mobile based emergency response system (MERS) framework, a text information extraction and aggregation algorithm to integrate information from multiple sources in the MERS system, and an ontology-supported case-based reasoning system for the MERS system. Design/methodology/approach: The paper explains the components of information extraction and aggregation process, and a CBR-Ontology approach for the MERS system. Findings: The result of this study will offer a new opportunity to the interaction between government, citizens, responders, and other non-government agencies in emergency situations, and therefore improve the services of the government in an emergency situation. Originality/value: The paper indicates the need for usage of mobile technologies to assist the government to get information and make decisions in responding to disasters anytime and anywhere.
