Conference paper Open Access
Applying Semantic Web Technologies for Decision Support in Climate-Related Crisis Management
Kontopoulos, Efstratios;
Mitzias, Panagiotis;
Dasiopoulou, Stamatia;
Moßgraber, Jürgen;
Mille, Simon;
Hertweck, Philipp;
Hellmund, Tobias;
Karakostas, Anastasios;
Vrochidis, Stefanos;
Wanner, Leo;
Kompatsiaris, Ioannis
- During climate-related crises, vast volumes of heterogeneous multimodal information are generated.
- Meaningfully processing and communicating this information for efficient decision support is a key challenge.
- The paper describes applying Semantic Web technologies for decision support during such crises.
- We are proposing the application of these technologies in the whole "sensor to decision chain".
- This approach is being tested within the beAWARE EU project, with contributions by domain experts.
This work has received funding by the European Commission under contracts H2020-700475 beAWARE and H2020-776019 EOPEN.
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Indexed in
- Publication date:
- June 25, 2018
- DOI:
-
- Keyword(s):
- Crisis Management Ontology Semantic Web Semantic Integration Decision Support
- Grants:
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European Commission:
- beAWARE - Enhancing decision support and management services in extreme weather climate events (700475)
- Meeting:
- 2nd International Conference Citizen Observatories for natural hazards and Water Management (COWM 2018), Venice, Italy, 27-30 November 2018 (Session Decision support in extreme weather climate events)
- License (for files):
- Creative Commons Attribution 4.0 International