Introducing the Data Quality Vocabulary (DQV)

Introducing the Data Quality Vocabulary (DQV)

The Data Quality Vocabulary (DQV) provides a metadata model for expressing data quality. DQV was developed by the Data on the Web Best Practice (DWBP) Working Group of the World Wide Web Consortium (W3C) between 2013 and 2017. This paper aims at providing a deeper understanding of DQV. It introduces...

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Veröffentlicht in:Semantic Web 2020, Vol.12 (1), p.81-97
Hauptverfasser: Albertoni, Riccardo, Isaac, Antoine
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Best practice
Consortia
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container_title Semantic Web
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creator Albertoni, Riccardo
Isaac, Antoine
description The Data Quality Vocabulary (DQV) provides a metadata model for expressing data quality. DQV was developed by the Data on the Web Best Practice (DWBP) Working Group of the World Wide Web Consortium (W3C) between 2013 and 2017. This paper aims at providing a deeper understanding of DQV. It introduces its key design principles, components, and the main discussion points that have been raised in the process of designing it. The paper compares DQV with previous quality documentation vocabularies and demonstrates the early uptake of DQV by collecting tools, papers, projects that have exploited and extended DQV.
doi_str_mv 10.3233/SW-200382
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title Introducing the Data Quality Vocabulary (DQV)
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