Automated approach for quality assessment of RDF resources.

ABSTRACT:

Introduction

The Semantic Web community provides a common Resource Description Framework (RDF) that allows representation of resources such that they can be linked. To maximize the potential of linked data - machine-actionable interlinked resources on the Web - a certain level of quality of RDF resources should be established, particularly in the biomedical domain in which concepts are complex and high-quality biomedical ontologies are in high demand. However, it is unclear which quality metrics for RDF resources exist that can be automated, which is required given the multitude of RDF resources. Therefore, we aim to determine these metrics and demonstrate an automated approach to assess such metrics of RDF resources.

Methods

An initial set of metrics are identified through

SUBMITTER: Zhang S 

PROVIDER: S-EPMC10170671 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature