Using Ontologies to Create Machine-Actionable Datasets: Two Case Studies

Using Ontologies to Create Machine-Actionable Datasets: Two Case Studies

Achieving the highest levels of compliance with the FAIR (findable, accessible, interoperable, reusable) principles for scientific data management and stewardship requires machine-actionable semantic representations of data and metadata. Human and machine interpretation and reuse of measurement data...

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Bibliographic Details
Main Authors: Jean-Laurent Hippolyte, Marina Romanchikova, Maurizio Bevilacqua, Paul Duncan, Samuel E. Hunt, Federico Grasso Toro, Anne-Sophie Piette, Julia Neumann
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Metrology
Subjects:
metrology
machine actionability
ontologies
OM 2.0
QUDT
FAIR principles
Online Access:https://www.mdpi.com/2673-8244/3/1/3

Internet

https://www.mdpi.com/2673-8244/3/1/3

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