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The sensor to decision chain in crisis management

: Moßgraber, Jürgen; Hilbring, Desiree; Schaaf, Hylke van der; Hertweck, Philipp; Kontopoulos, E.; Mitzias, P.; Karakostas, A.; Vrochidis, S.; Kompatsiaris, I.

Volltext (PDF; )

Boersman, Kees (Ed.) ; International Community on Information Systems for Crisis Response and Management -ISCRAM-:
ISCRAM 2018, 15th International Conference on Information Systems for Crisis Response and Management. Conference Proceedings : Rochester, NY, USA, May 20 - 23, 2018
Rochester/NY, 2018
ISBN: 978-0-692-12760-5
International Conference on Information Systems for Crisis Response and Management (ISCRAM) <15, 2018, Rochester/NY>
European Commission EC
H2020; 700475; beAWARE
Enhancing decision support and management services in extreme weather climate events
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
sensor; Internet of Things; Ontology; knowledge base; ontology visualization; decision support; early warning

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.