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Conference object . 2018
License: CC BY
Data sources: Datacite
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Conference object . 2018
License: CC BY
Data sources: Datacite
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https://doi.org/10.5281/zenodo...
Article . 2018
License: CC BY
Data sources: Sygma
https://dx.doi.org/10.24406/pu...
Other literature type . 2018
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Conference object . 2018
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Applying Semantic Web Technologies For Decision Support In Climate-Related Crisis Management

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type , Article 01 Jan 2018 English Publisher:ZenodoFunded by:EC | beAWARE
Authors: Kontopoulos, Efstratios; Mitzias, Panagiotis; Dasiopoulou, Stamatia; Moßgraber, Jürgen; Mille, Simon; Hertweck, Philipp; Hellmund, Tobias; +4 Authors

doi: 10.5281/zenodo.1297470 , 10.24406/publica-fhg-403853 , 10.5281/zenodo.1297471

Applying Semantic Web Technologies For Decision Support In Climate-Related Crisis Management

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.

This work has received funding by the European Commission under contracts H2020-700475 beAWARE and H2020-776019 EOPEN.

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Keywords

Crisis Management, Ontology, Decision Support, Semantic Integration, Semantic Web

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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