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The sensor to decision chain in crisis management
Jürgen Moßgraber
Désirée Hilbring
Hylke van der Schaaf
Philipp Hertweck
Efstratios Kontopoulos
Panagiotis Mitzias
Ioannis Kompatsiaris
Stefanos Vrochidis
Anastasios Karakostas
Kees Boersma
Brian Tomaszeski
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 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 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 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.
urn:ISBN:978-0-692-12760-5
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=The%20sensor%20to%20decision%20chain%20in%20crisis%20management&stitle=Iscram%202018&issn=2411-3387&isbn=978-0-692-12760-5&date=2018&spage=754&epage=763&aulast=J%FCrgen%20Mo%DFgraber&au=D%E9sir%E9e%20Hilbring&au=Hylke%20van%20der%20Schaaf&au=Philipp%20Hertweck&au=Efstratios%20Kontopoulos&au=Panagiotis%20Mitzias&au=Ioannis%20Kompatsiaris&au=Stefanos%20Vrochidis&au=Anastasios%20Karakostas&pub=Rochester%20Institute%20of%20Technology&place=Rochester%2C%20NY%20%28USA%29&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=2148
citekey:JuergenMossgraber_etal2018
citation:Jürgen Moßgraber, Désirée Hilbring, Hylke van der Schaaf, Philipp Hertweck, Efstratios Kontopoulos, Panagiotis Mitzias, et al. (2018). The sensor to decision chain in crisis management. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 754-763). Rochester, NY (USA): Rochester Institute of Technology.
2018
ConferencePaper
text
Sensors, Internet of Things, Knowledge Base, Ontology Visualization, Decision Support, Early Warning
file:http://idl.iscram.org/files/juergenmossgraber/2018/2148_JuergenMossgraber_etal2018.pdf
Rochester Institute of Technology
English
2411-3387
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management
2018
754
763
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