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2018
Conference Paper
Titel

The sensor to decision chain in crisis management

Abstract
In every disaster and crisis, incident time is the enemy, and getting accurate information about the scope, extent, and impact of the disaster is critical to creating and orchestrating an effective disaster response and recovery effort. Decision Support Systems (DSSs) for disaster and crisis situations need to solve the problem of facilitating the broad variety of sensors available today. This includes the research domain of the Internet of Things (IoT) and data coming from social media. All this data needs to be aggregated and fused, the semantics of the data needs to be understood and the results must be presented to the decision makers in an accessible way. Furthermore, the interaction and integration with existing risk and crisis management systems are necessary for a better analysis of the situation and faster reaction times. This paper provides an insight into the sensor to decision chain and proposes solutions and technologies for each step.
Author(s)
Moßgraber, Jürgen
Hilbring, Desiree
Schaaf, Hylke van der
Hertweck, Philipp
Kontopoulos, E.
Mitzias, P.
Karakostas, A.
Vrochidis, S.
Kompatsiaris, I.
Hauptwerk
ISCRAM 2018, 15th International Conference on Information Systems for Crisis Response and Management. Conference Proceedings
Project(s)
beAWARE
Funder
European Commission EC
Konferenz
International Conference on Information Systems for Crisis Response and Management (ISCRAM) 2018
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Externer Link
Externer Link
Language
English
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Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Tags
  • sensor

  • Internet of Things

  • Ontology

  • knowledge base

  • ontology visualizatio...

  • decision support

  • early warning

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