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

نویسندگان

  • Rebeca Barros
  • Pedro Kislansky
  • Laís Salvador
  • Reinaldo Almeida
  • Matthias Breyer
  • Laia Gasparin Pedraza
  • Vaninha Vieira
چکیده

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 União Européia e pelo Ministério de Ciência, Tecnologia e Inovação do Brasil. O RESCUER usa informação do público para apoiar Parques Industriais e Forças de Segurança durante uma emergência. A ontologia proposta, EDXL-RESCUER, é baseada no EDXL (Emergency Data Exchange Language) e pretende ser o modelo conceitual do RESCUER relacionado à coordenação e troca de informação com os sistemas legados. A ontologia foi avaliada com usuários finais durante um workshop, e os resultados mostram que EDXL-RESCUER é adequada para o domínio de Crises e Emergências nos contextos de Parques Industrias e Forças de Segurança. Especificamente, este artigo apresenta uma atualização da EDXL-RESCUER baseada em uma abordagem de taxinomia facetada.

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تاریخ انتشار 2015