Nicky van Oorschot, & Bart van Leeuwen. (2017). Intelligent fire risk monitor based on Linked Open Data. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 294–306). Albi, France: Iscram.
Abstract: Every day the Fire department of the Netherlands work hard to save people's lives. Therefore, they have been investing in Business Intelligence approaches for several years, to get more information for accident prevention and accident fighting. In this paper, Linked Open Data has been used as a business intelligence approach for the creation of dwelling fire risk profiles based on demographic data. During the research a Proof of Concept showed the appliance of Linked Open Data for this purpose. However the data have some quality mismatches, such as: outdated, accuracy issues and not 100% complete. Evaluation session proofed that the outcomes show similarities with a fire incident map and the gut feeling of several firefighters.
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Fiona Jennet McNeill, Diana Bental, Jeremy Bryan, Paolo Missier, Jannetta S. Steyn, & Tom Kumar. (2019). Communication in Emergency Management through Data Integration and Trust: an introduction to the CEM-DIT system. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: This paper discusses the development of the CEM-DIT (Communication in Emergency Management through Data
Integration and Trust) system, which allows decision makers in crises to send out automated data requests to multiple
heterogeneous and potentially unknown sources and interactively determine how reliable, relevant and trustworthy
the responses are. We describe the underlying technology, which is based partially on data integration and matching,
and partly on utilisation of provenance data. We describe our cooperation with the Urban Observatory (UO), which
allows us to develop the system in collaboration with developers of the kind of crisis-relevant data which the system
is designed for. The system is currently in development, and we describe which parts are fully implemented and
which are currently being developed.
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Mohd Khairul Azmi Hassan, & Yun-Heh Chen-Burger. (2016). Communication and Tracking Ontology Development for Civilians Earthquake Disaster Assistance. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: One of the most important components of recovery and speedy response during and immediately after an earthquake disaster is a communication and tracking which possibly capable of discovering affected peoples and connects them with their families, friends, and communities with first responders and/or to support computational systems. With the capabilities of current mobile technologies, we believed that it can be a smart earthquake disaster tools aid to help people in this situation. Ontologies are becoming crucial parts to facilitate an effective communication and coordination across different parties and domains in providing assistance during earthquake disasters, especially where affected locations are remote, affected population is large and centralized coordination is poor. Several existing competing methodologies give guidelines as how ontology may be built, there are no single right ways of building an ontology and no standard of Disaster Relief Ontology exist, although separated related ontologies may be combined to create an initial version. This article discusses the on-going development of an ontology for a Communication and Tracking System (CTS), based on existing related ontologies, that is aimed to be used by mobile phone applications to support earthquake disaster relief at the real-time.
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Eva Blomqvist, Vitaveska Lanfranchi, Suvodeep Mazumdar, Tomi Kauppinen, & Carsten Kessler. (2015). Workshop summary: Workshop on Semantics and Analytics for Emergency Response (SAFE2015). 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: The Emergency Response domain is a highly challenging domain, requiring the active collaboration of several experts and authorities on the one hand and large-scale data analysis on the other. This poses significant challenges in sharing and analysing highly dynamic data describing highly evolving situations. This paper provides a brief summary for the first workshop in the SAFE workshop series. The workshop is aimed at bringing together analysts, practitioners, researchers and enthusiasts and provides a discussion ground for practical problems, solutions and projects that exploit Semantic Web, Linked Data analytics for Emergency Response. Following a round of thorough reviews, four papers are accepted and a keynote will complement the paper presentations along with a few discussion sessions.
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Marcos R. S. Borges, Kelli De Faria Cordeiro, Maria Luiza M Campos, & Tiago Brade Marino. (2011). Linked open data and the design of information infrastructure for emergency management 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: Correct information is a vital resource during disasters. Without adequate information, response actions may be ineffective. What is the source of information of emergency management systems? Besides that originated from sensors, the emergency team and the public in general, a very relevant source is government data, such as demographic and geographic data, road maps, etc. The heterogeneity of information formats is a well-known problem that affects organizations and communities that want to access public data. Today, most public agencies provide access to their data, but the great majority is unreadable by automated mechanisms. Besides, most of them do not provide a dictionary meaning for the published content. A solution to this problem is of particular importance to emergency response organizations that need access to all information available to better respond to disasters and crisis. The linked open data (LOD) initiative allows the interconnection of data, using standards in the context of the semantic web approach. In ideal conditions, government agencies publish their public data, thus allowing the use of automated data concerned consumers, whether they are other government agencies or citizens. Efforts aimed to link government data are growing in several countries around the world. This talk presents the LOD concepts and describes an architecture that uses LOD in the design of an Emergency Management System. It describes a scheme for collecting available data from government agencies, such as departments of health, transport, works, that can supply information needs during an emergency response operation.
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