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Dataset . 2020
License: CC BY SA
Data sources: Datacite
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ZENODO
Dataset . 2020
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Dataset . 2019
License: CC BY SA
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY SA
Data sources: ZENODO
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Dataset . 2018
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Dataset . 2018
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Dataset . 2017
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ZENODO
Dataset . 2020
License: CC BY SA
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY SA
Data sources: ZENODO
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https://doi.org/10.5281/zenodo...
Dataset . 2020
License: CC BY SA
Data sources: Sygma
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Dataset . 2023
License: CC BY SA
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY SA
Data sources: Datacite
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EventKG

Authors: Gottschalk, Simon; Demidova, Elena;
Abstract

The EventKG is a multilingual resource incorporating event-centric information extracted from several large-scale knowledge graphs such as Wikidata, DBpedia and YAGO, as well as less structured sources such as the Wikipedia Current Events Portal and Wikipedia event lists in 15 languages. The EventKG is an extensible event-centric resource modelled in RDF. It relies on Open Data and best practices to make event data spread across different sources available through a common representation and reusable for a variety of novel algorithms and real-world applications.

{"references": ["Gottschalk, Simon, and Elena Demidova. \"EventKG: A Multilingual Event-centric Temporal Knowledge Graph.\" Extended Semantic Web Conference. Springer, Cham, 2018.", "Gottschalk, Simon, and Elena Demidova. \"EventKG\u2013the hub of event knowledge on the web\u2013and biographical timeline generation.\" Semantic Web 10.6 (2019): 1039-1070."]}

The file names say "v3_3", but this is version 3.1.

Related Organizations
Keywords

temporal relations, multilingual, events

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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43