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Semantic Queries Supporting Crisis Management Systems

: Schenk, Manfred; Hellmund, Tobias; Hertweck, Philipp; Moßgraber, Jürgen

Brück, Tim vor der (ed.) ; International Academy, Research, and Industry Association -IARIA-:
SEMAPRO 2019, Thirteenth International Conference on Advances in Semantic Processing : September 22-26, 2019, Porto, Portugal
Wilmington/Del.: IARIA, 2019
ISBN: 978-1-61208-738-2
International Conference on Advances in Semantic Processing (SEMAPRO) <13, 2019, Porto>
European Commission EC
H2020; 700395; HERACLES
HEritage Resilience Against CLimate Events on Site
European Commission EC
H2020; 700475; beAWARE
Enhancing decision support and management services in extreme weather climate events
Fraunhofer IOSB ()
decision support; semantic access to sensor observations; GeoSPARQL; geospatial semantic queries

In crisis management, it is crucial to have up-to-date data available to assess an ongoing situation correctly. This information originates from different sources, such as human observations, various sensors or simulation algorithms with heterogeneous geographic scope. The aggregation of such data is conducted by decision support systems to disburden the end-users from automatable tasks. By using semantic technologies for the integration, these systems can benefit from the expressional power of semantic queries. Therefore, all data that is available in the system should also be accessible for these queries. In the following, we present an approach how sensor data can be accessed through semantic queries and how geospatial knowledge can be integrated in a Decision Support System.