Announcing dataset "CORD-19 Named Entities KG": an RDF dataset of named entities identified in the CORD-19 corpus

Dear colleagues,

In order to foster innovative work based on the cross-linking of 
COVID-19 literature with the Data Web, we (Wimmics team, Inria 
<https://team.inria.fr/wimmics/>) are in the process of generating an 
RDF dataset describing the named entities identified in the research 
papers of the CORD-19 
<https://pages.semanticscholar.org/coronavirus-research> corpus.

To identify and disambiguate the named entities, we are using NCBO 
BioPortal annotator <http://bioportal.bioontology.org/annotatorplus>, 
Entity-fishing <https://github.com/kermitt2/entity-fishing> (links to 
Wikidata) and DBpedia Spotlight <https://www.dbpedia-spotlight.org/> 
(links to DBpedia). We are also taking care of linking to other related 
works such as CORD-19-on-FHIR 
<https://github.com/fhircat/CORD-19-on-FHIR> and COVID-19 Literature KG 
<https://www.kaggle.com/group16/covid19-literature-knowledge-graph>.

We shall release this dataset soon, as n RDF dump as well as through a 
dedicated SPARQL endpoint. Stay tuned!

Regards,
     Franck.
-- 
signature

 Franck MICHEL - CNRS research engineer
Université Côte d’Azur, CNRS, Inria
I3S laboratory (UMR 7271)
franck.michel@cnrs.fr <mailto:franck.michel@cnrs.fr> - +33 (0)4 8915 4277