Short Analysis of the Impact of COVID-19 Ontologies
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Springer Science and Business Media Deutschland GmbH
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During the COVID-19 pandemic, researchers started to develop technical approaches to solve the numerous challenges imposed by the new pandemic. One fundamental precondition for research is to make relevant data about the COVID-19 pandemic available in a machine-processable way. For this purpose, COVID-19 ontologies and knowledge graphs have been developed and proposed for many different subareas of COVID-19 applications and research. In this paper, we provide a short analysis of the impact of COVID-19 ontologies.
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Except where otherwise noted, this item's license is described as Acceso restringido / Suscripción (Metadatos de producción científica)