Quality Assessment with DQV, SHACL and SPARQL

Lieber, Sven

Description

This resource provides files used for a quality assessment of an RDF social media archive where quality information is described using the Data Quality Vocabulary (DQV)and linked to RDF validation rules expressed in W3C SHACL.The actual quality assessment is then performed as SPARQL query on these sources.
The research activities were supported by the Belgian Federal Science Policy Office (BELSPO) BRAIN 2.0 Research Project BESOCIAL, Ghent University, imec.
More information in the file README.md

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.5

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

figshare

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Information Systems

Field

Computer Science

Domain

Physical Sciences

Confidence Score

55%

Source

Open Alex

Keywords

Applied Computer ScienceInformation SystemsFOS: Computer and information sciences80404 Markup Languages80505 Web Technologies (excl. Web Search)

Normalization Factors

FT

51.92

CTw

1.00

MTw

1.00