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ZENODO
Dataset . 2020
License: CC BY SA
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY SA
Data sources: Datacite
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RuWikidata8M

Research datakeyboard_double_arrow_right Dataset 16 Apr 2020Publisher:Zenodo
Authors: Korablinov, Vladislav;

doi: 10.5281/zenodo.3751761 , 10.5281/zenodo.3751760

Abstract

A Wikidata sample containing all the entities with Russian labels as of March 2020. It consists of about 212M triples with 8.1M unique entities. This snapshot intended to be used with RuBQ dataset. It mitigates the problem of Wikidata’s dynamics – a reference answer may change with time as the knowledge base evolves. The sample guarantees the correctness of the queries and answers.

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Keywords

semantic web, knowledge graph, wikidata

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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).
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.
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