Automated approach for quality assessment of RDF resources.
Shuxin ZhangNirupama BenisRonald CornetPublished in: BMC medical informatics and decision making (2023)
We extracted six objective and automatable metrics from literature, as the foundational quality requirements of RDF resources to maximize the potential of linked data. Automated tooling to assess resources has shown to be effective to identify quality issues that must be avoided. This approach can be expanded to incorporate more automatable metrics so as to reflect additional quality dimensions with the assessment tool implementing more metrics.