Title: A data exchange solution for emergency response systems based on the EDXL-RESCUER ontology

Authors: Laís Do Nascimento Salvador; Rebeca Barros; Vaninha Vieira Dos Santos; Félix Simas De Souza Neto; Renato Lima Novais; Simone Da Silva Amorim; Marian Weber

Addresses: Department of Computer Science, Federal University of Bahia, Salvador, BA, Brazil ' Department of Computer Science, Federal University of Bahia, Salvador, BA, Brazil ' Department of Computer Science, Federal University of Bahia, Salvador, BA, Brazil ' Computing Department, Federal Institute of Bahia, Salvador, BA, Brazil ' Computing Department, Federal Institute of Bahia, Salvador, BA, Brazil ' Computing Department, Federal Institute of Bahia, Salvador, BA, Brazil ' Department of Computer Science, Federal University of Bahia, Salvador, BA, Brazil

Abstract: Handling an emergency requires the coordination and cooperation of several people and systems from various agencies and organisations, including the government and society in general. A wide range of heterogeneous data is managed by different stakeholders, thus demanding solutions to support integration issues such as interoperability and ambiguity. In a previous work, we proposed an ontology for Emergency Response Systems, called EDXL-RESCUER, in the scope of the RESCUER project. In this paper, we present the usage of this ontology in a data exchange solution (DILS: Data Integration with Legacy Systems), which aims to provide semantic interoperability between Emergency Response Systems, and the evolution of EDXL-RESCUER. To evaluate the proposed solution, EDXL-RESCUER & DILS, we performed two studies: (i) simulations using two real data sources, the Police Reports from Bahia Public Safety and Security Department, Brazil; and the Canadian Disaster Database; (ii) an emergency simulation at an Industrial Park in Bahia, Brazil. The results demonstrate the potential use of the EDXL-RESCUER as a common vocabulary to support semantic interoperability between emergency response systems. We also verified the feasibility of using the DILS solution in emergency management scenarios. Besides EDXL-RESCUER & DILS, a mapping and integration of concepts related to data exchange are presented.

Keywords: emergency response system; ontology; EDXL-RESCUER; data integration; data exchange; DILS; emergency management; RESCUER.

DOI: 10.1504/IJMSO.2019.099839

International Journal of Metadata, Semantics and Ontologies, 2019 Vol.13 No.3, pp.264 - 283

Received: 24 Jul 2018
Accepted: 06 Mar 2019
Published online: 23 May 2019 *

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