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María Hernandez, Susana Montero, David Díez, Ignacio Aedo, & Paloma Díaz. (2009). Towards an interoperable data model for forest fire reports. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The creation of action statistics of fire extinction services is a common activity in the management of forest-fires emergencies. The compilation of action data and the elaboration of statistics based upon those data allow drawing relevant information about forest fires emergencies and fire extinction services. The creation of action statistics requires the exchange of heterogeneous data, with different granularity and detail, among scattered sources. This paper introduces a Forest Fire Report Data Model devoted to be a data reference model for sharing and exchanging forest fire reports in order to achieve syntactic interoperability among independent systems. The definition of the model has been based on the review of forest fire statistics made by different agencies as well as the experience gained in developing an information system, called SIU6, for the creation of action reports of.
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Matthias Lendholt, & Martin Hammitzsch. (2011). Generic information logistics for early warning systems. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The delivery of user-tailored warning messages for heterogeneous user groups is a challenge rarely covered by hazard monitoring and early warning systems. While attention is mostly focused on sensor measurements and disaster prediction, warning message dissemination is often based on technical terminology and is not appropriate for the majority of interested user groups. This article describes the concepts of generic information logistics developed for the distant early warning system (DEWS). It is designed to not be limited to specific hazard types, languages or other deployment specifics. Instead, it enables the generation of user-tailored warning messages that account for specific needs and it provides several filter mechanisms to avoid unintended message flooding in emergency situations. Moreover, the importance of spatial references in messages is highlighted and accounted for in both automatic message processing and message reception by humans. Warning messages are based on the common alerting protocol (CAP) to allow interoperability with other early warning systems.
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Matthias Lendholt, Martin Hammitzsch, & Miguel Angel Esbrí. (2012). Interlinking national tsunami early warning systems towards ocean-wide system-of-systems networks. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: For the integration of national tsunami warning systems to large scale, ocean-wide warning infrastructures a specific protocol has been developed enabling system communication in a system-of-system environment. The proposed communication model incorporates requirements of UNESCO Intergovernmental Oceanic Commission tsunami programme to interlink national tsunami early warning systems. The model designed to be robust simple is based on existing interoperability standards. It uses the Common Alerting Protocol (CAP) for the exchange of official tsunami warning bulletins. Sensor measurements are communicated via markup languages of the Sensor Web Enablement (SWE) suite. Both communication products are embedded into an envelope carrying address information based on the Emergency Data Exchange Language Distribution Element (EDXL-DE). The research took place within the context of two European research projects. The reference implementation of the presented results was tested independently in deployments at two early warning centers. © 2012 ISCRAM.
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Rebeca Barros, Pedro Kislansky, Laís Salvador, Reinaldo Almeida, Matthias Breyer, & Laia Gasparin. (2015). EDXL-RESCUER ontology: Conceptual Model for Semantic Integration. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: This paper describes an ontology created for the RESCUER[1] (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, it 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.
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