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A protocol for adding knowledge to Wikidata: aligning resources on human coronaviruses

Research output: Contribution to journalA1: Web of Science-articlepeer-review

  • Andra Waagmeester
  • Egon L. Willighagen
  • Andrew I. Su
  • Martina Kutmon
  • Jose Emilio Labra Gayo
  • Daniel Fernández-Álvarez
  • Quentin Groom
  • Peter J. Schaap
  • Lisa M. Verhagen
  • Jasper J. Koehorst
Pandemics, even more than other medical problems, require swift integration of knowledge. When caused by a new virus, understanding the underlying biology may help finding solutions. In a setting where there are a large number of loosely related projects and initiatives, we need common ground, also known as a ``commons.'' Wikidata, a public knowledge graph aligned with Wikipedia, is such a commons and uses unique identifiers to link knowledge in other knowledge bases. However, Wikidata may not always have the right schema for the urgent questions. In this paper, we address this problem by showing how a data schema required for the integration can be modeled with entity schemas represented by Shape Expressions.
Original languageEnglish
JournalBMC Biology
Volume19
Issue number1
Pages (from-to)12
Number of pages1
ISSN1741-7007
DOIs
Publication statusPublished - 22-Jan-2021

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