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Title: CORD-19 Named Entities Knowledge Graph (CORD19-NEKG)

Type Dataset Gazzotti, Raphaël, Michel, Franck, Gandon, Fabien (2020): CORD-19 Named Entities Knowledge Graph (CORD19-NEKG). Zenodo. Dataset. https://zenodo.org/record/3827449

Authors: Gazzotti, Raphaël (University Côte d'Azur, Inria, CNRS) ; Michel, Franck (University Côte d'Azur, Inria, CNRS) ; Gandon, Fabien (University Côte d'Azur, Inria, CNRS) ;

Links

Summary

CORD-19 Named Entities Knowledge Graph (CORD19-NEKG) is an RDF dataset describing named entities identified in the scholarly articles of the COVID-19 Open Research Dataset (CORD-19), a resource of over 47,000 articles about COVID-19 and the coronavirus family of viruses.

Homepage: https://github.com/Wimmics/cord19-nekg

License: see LICENCE file in the dataset.

More information

  • DOI: 10.5281/zenodo.3827449
  • ISIDENTICALTO: https://github.com/Wimmics/cord19-nekg
  • Language: en

Subjects

  • covid19, coronavirus, cord19, annotation,, named entity, named entity recognition

Dates

  • Publication date: 2020
  • Issued: May 07, 2020

Rights

  • info:eu-repo/semantics/openAccess Open Access

Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsDerivedFromhttps://www.semanticscholar.org/cord19
IsVersionOfhttps://doi.org/10.5281/zenodo.3827448
IsPartOfhttps://zenodo.org/communities/covid-19
IsPartOfhttps://zenodo.org/communities/zenodo