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This RDF dataset provides two main knowledge graphs produced by processing the scholarly articles of the COVID-19 Open Research Dataset (CORD-19), a resource of articles about COVID-19 and the coronavirus family of viruses. The CORD-19 Named Entities Knowledge Graph describes named entities identified and disambiguated by NCBO BioPortal annotator, Entity-fishing and DBpedia Spotlight. The CORD-19 Argumentative Knowledge Graph describes argumentative components and PICO elements extracted from the articles by the Argumentative Clinical Trial Analysis platform (ACTA). Homepage: https://github.com/Wimmics/CovidOnTheWeb License: see the LICENCE file in the archive.
{"references": ["F. Michel, F. Gandon, V. Ah-Kane, A. Bobasheva, E. Cabrio, O. Corby, R. Gazzotti, A. Giboin, S. Marro, T. Mayer, M. Simon, S. Villata, M. Winkler. Covid-on-the-Web: Knowledge Graph and Services to Advance Covid-19 Research. 19th International Semantic Web Conference, Athens, Greece, November 2\u20136, 2020, Proceedings, Part I"]}
covid19, annotation, argument mining, named entity recognition, NER, literature, cord19, coronavirus, named entity, argumentation theory
covid19, annotation, argument mining, named entity recognition, NER, literature, cord19, coronavirus, named entity, argumentation theory
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 95 | |
| downloads | 58 |

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Downloads provided by UsageCounts