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Applying Semantic Web Technologies for Decision Support in Climate-Related Crisis Management

Paper presented at 2nd International Conference on Citizen Observatories for natural hazards and Water Management, COWM 2018, Venice, 27-30 November 2018
 
: Kontopoulos, E.; Mitzias, P.; Dasiopoulou, S.; Moßgraber, Jürgen; Mille, S.; Hertweck, Philipp; Hellmund, Tobias; Karakostas, A.; Vrochidis, S.; Wanner, L.; Kompatsiaris, I.

:
Fulltext urn:nbn:de:0011-n-5344180 (634 KByte PDF)
MD5 Fingerprint: 0edbc76acb7eddbc3ce9474c2ab5f3c2
Created on: 20.2.2019


2018, 4 pp.
International Conference on Citizen Observatories for natural hazards and Water Management (COWM) <2, 2018, Venice>
English
Conference Paper, Electronic Publication
Fraunhofer IOSB ()

Abstract
- 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.

: http://publica.fraunhofer.de/documents/N-534418.html