Wikidata Queries around the SARS-CoV-2 virus and pandemic

Name: Wikidata Queries around the SARS-CoV-2 virus and pandemic
Creator: Willighagen, Egon
Keywords: GitHub, Wikidata, SARS-CoV-2, COVID-19, Markdown, SPARQL, 3. Good health

descriptionPublicationkeyboard_double_arrow_right Presentation 10 Jan 2023 English Publisher:Zenodo

Authors: Willighagen, Egon;

doi: 10.5281/zenodo.7521890 , 10.5281/zenodo.7521891

Wikidata Queries around the SARS-CoV-2 virus and pandemic

- Summary
- Subjects
- Metrics

Abstract

Linked Data for (LD4) Wikidata Affinity Group talk about the online/ebook Wikidata Queries around the SARS-CoV-2 virus and pandemic. It describes the technology behind the book (Markdown, citation.js, SPARQL) and how it visualizes data from Wikidata, collected by a large community of people that collected data and knowledge about the SARS-CoV-2 virus and the COVID-19 pandemic.

Related Organizations

Maastricht University
Netherlands

Keywords

GitHub, Wikidata, SARS-CoV-2, COVID-19, Markdown, SPARQL

Impact byBIP!

	citations 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