EDXL-RESCUER Ontology: an Update Based on Faceted Taxonomy Approach

This paper describes an ontology created for the RESCUER1 (Reliable and Smart Crowdsourcing Solution for Emergency and Crisis Management), a project funded by the European Union and the Brazilian Ministry of Science, Technology and Innovation. RESCUER uses crowdsourcing information for supporting Industrial Parks (InPa) and Security Forces during an emergency situation. The proposal, EDXL-RESCUER ontology, is based on EDXL (Emergency Data Exchange Language), and it aims to be the RESCUER conceptual model related to the coordinating and exchanging of information with legacy systems. The ontology was evaluated with end-users during a workshop and the results show that EDXL-RESCUER is adequate for Emergency and Crisis domain in InPa and Security forces contexts. Specifically, this paper presents an update of EDXL-RESCUER ontology based on a faceted taxonomy approach. Resumo. Este artigo descreve uma ontologia criada para o RESCUER (Reliable and Smart Crowdsourcing Solution for Emergency and Crisis Management), um projeto patrocinado pela Uniao Europeia e pelo Ministerio de Ciencia, Tecnologia e Inovacao do Brasil. O RESCUER usa informacao do publico para apoiar Parques Industriais e Forcas de Seguranca durante uma emergencia. A ontologia proposta, EDXL-RESCUER, e baseada no EDXL (Emergency Data Exchange Language) e pretende ser o modelo conceitual do RESCUER relacionado a coordenacao e troca de informacao com os sistemas legados. A ontologia foi avaliada com usuarios finais durante um workshop, e os resultados mostram que EDXL-RESCUER e adequada para o dominio de Crises e Emergencias nos contextos de Parques Industrias e Forcas de Seguranca. Especificamente, este artigo apresenta uma atualizacao da EDXL-RESCUER baseada em uma abordagem de taxinomia facetada.

[1]  Wang Wenjun,et al.  Research on Ontology-based Emergency Situation Data Integration and Sharing , 2012 .

[2]  Ingetraut Dahlberg Teoria do conceito , 1978 .

[3]  Emilio Rubiera,et al.  Solving interoperability issues in cross border emergency operations , 2013, ISCRAM.

[4]  Frances M. T. Brazier,et al.  Agent-based information infrastructure for disaster management , 2013 .

[5]  Michael Gruninger,et al.  Methodology for the Design and Evaluation of Ontologies , 1995, IJCAI 1995.

[6]  M. Beriwal,et al.  Protecting communities from chemical warfare agents , 2013, 2013 IEEE International Conference on Technologies for Homeland Security (HST).

[7]  Alfred C. Weaver,et al.  Applications of Social Networks and Crowdsourcing for Disaster Management Improvement , 2013, 2013 International Conference on Social Computing.

[8]  Hang Xiao,et al.  Integration of heterogeneous agriculture information system based on interoperation of domain ontology , 2013, 2013 Second International Conference on Agro-Geoinformatics (Agro-Geoinformatics).

[9]  Rubén Prieto-Díaz,et al.  A faceted approach to building ontologies , 2003, Proceedings Fifth IEEE Workshop on Mobile Computing Systems and Applications.

[10]  Laís do Nascimento Salvador,et al.  EDXL-RESCUER ontology: Conceptual Model for Semantic Integration , 2015, ISCRAM.

[11]  Stanislav V. Klimenko,et al.  Ontology of Emergency Shared Situation Awareness and Crisis Interoperability , 2013, 2013 International Conference on Cyberworlds.

[12]  Alex Godwin,et al.  A Precision Information Environment (PIE) for emergency responders: Providing collaborative manipulation, role-tailored visualization, and integrated access to heterogeneous data , 2013, 2013 IEEE International Conference on Technologies for Homeland Security (HST).

[13]  Rubén Prieto-Díaz,et al.  Domain analysis: an introduction , 1990, SOEN.

[14]  Document Url,et al.  Data Interoperability Solution At Stakeholders Emergency Reaction , 2012 .

[15]  Donald P. McGarry,et al.  IC.NET — Incident Command “Net”: A system using EDXL-DE for intelligent message routing , 2010, 2010 IEEE International Conference on Technologies for Homeland Security (HST).

[16]  Domenico M. Pisanelli,et al.  An ontology of cancer therapies supporting interoperability and data consistency in EPRs , 2013, Comput. Biol. Medicine.

[17]  Martin Hammitzsch,et al.  Interlinking national tsunami early warning systems towards ocean-wide system-of-systems networks , 2012, ISCRAM.

[18]  Asunción Gómez-Pérez,et al.  METHONTOLOGY: From Ontological Art Towards Ontological Engineering , 1997, AAAI 1997.

[19]  Pradeep Kumar Ray,et al.  OSHCO: A Cross-domain Ontology for semantic interoperability across medical and oral health domains , 2013, 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013).

[20]  Ruben Prieto-Diaz,et al.  Domain analysis for reusability , 1988 .

[21]  Martin Hammitzsch,et al.  A Walk through TRIDEC's intermediate Tsunami Early Warning System , 2012 .