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Conference object . 2021
License: CC BY
Data sources: Datacite
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Conference object . 2021
License: CC BY
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CALLISTO: Copernicus Artificial Intelligence Services and data fusion with other distributed data sources and processing at the edge to support DIAS and HPC infrastructures

descriptionPublicationkeyboard_double_arrow_right Conference object 08 Apr 2021Publisher:ZenodoFunded by:EC | RapidAI4EO, EC | GEM, EC | CALLISTO +1 projects
Authors: Andreadis, Stelios; Gialampoukidis, Ilias; Sitokonstantinou, Vasileios; Coloru, Beatrice; Vervaeren, Han; Lopez, Eva; Kalogirou, Vasileios; +6 Authors

doi: 10.5281/zenodo.4696650 , 10.5281/zenodo.4696649

CALLISTO: Copernicus Artificial Intelligence Services and data fusion with other distributed data sources and processing at the edge to support DIAS and HPC infrastructures

Abstract

CALLISTO is a project funded by the European Union’s Horizon 2020 Research and Innovation Programme under the topic “Big data technologies and Artificial Intelligence for Copernicus” in 2020 and has started in January 2021, with a duration of three years. In this work we introduce the CALLISTO project and describe its concept and approach, the use cases of application and the expected impact.

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Keywords

Big Data, Artificial Intelligence, Earth Observation, Data Fusion, Copernicus

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selected citations
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This is an alternative to the "Influence" indicator, which also 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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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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