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Ontology-based representation of crisis management procedures for climate events

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

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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
European Commission EC
H2020; 776019; EOPEN
opEn interOperable Platform for unified access and analysis of Earth observatioN data
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
crisis management; ontology; semantic integration; decision support; description logic

One of the most critical challenges faced by authorities during the management of a climate-related crisis is the overwhelming flow of heterogeneous information coming from humans and deployed sensors (e.g. cameras, temperature measurements, etc.), which has to be processed in order to filter meaningful items and provide crisis decision support. Towards addressing this challenge, ontologies can provide a semantically unified representation of the domain, along with superior capabilities in querying and information retrieval. Nevertheless, the recently proposed ontologies only cover subsets of the relevant concepts. This paper proposes a more “all-around” lightweight ontology for climate crisis management, which greatly facilitates decision support and merges several pertinent aspects: representation of a crisis, climate parameters that may cause climate crises, sensor analysis, crisis incidents and related impacts, first responder unit allocations. The ontology could constitute the backbone of the decision support systems for crisis management.