- From: Franck Michel <fmichel@i3s.unice.fr>
- Date: Wed, 15 Apr 2020 18:24:48 +0200
- To: public-lod <public-lod@w3.org>, public-lod <public-lod@w3.org>, rda-covid19@rda-groups.org
Received on Wednesday, 15 April 2020 16:26:22 UTC
Dear colleagues, The Wimmics <https://team.inria.fr/wimmics/> research team has published the CORD-19 Named Entities Knowledge Graph (CORD-19 NEKG) dataset, an RDF dataset describing named entities identified in the research papers of the CORD-19 corpus. In this first version, we have used Entity-fishing and DBpedia Spotlight to identify and disambiguate the named entities. This amounts to 2.6 million named entities described in RDF and linked to DBpedia and Wikidata. The dataset is described at and downloadable from https://github.com/Wimmics/cord19-nekg. It can also be queried through our Virtuoso OS SPARQL endpoint https://covid19.i3s.unice.fr/sparql. Best 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
Received on Wednesday, 15 April 2020 16:26:22 UTC