Automated approach for quality assessment of RDF resources.

Journal: BMC medical informatics and decision making
Published Date: May 10, 2023

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.

Authors

  • Shuxin Zhang
    Department of Mechanical Engineering, Virginia Tech, 1075 Life Sciences Circle, Blacksburg, VA, 0917, United States of America.
  • Nirupama Benis
    Department of Medical Informatics, Amsterdam University Medical Center, Amsterdam, The Netherlands.
  • Ronald Cornet
    Department of Medical Informatics, Academic Medical Center, University of Amsterdam, Meibergdreef 15, 1105 AZ Amsterdam, The Netherlands; Department of Biomedical Engineering, Linköping University, SE-581 83 Linköping, Sweden.

Keywords

External Resources

Popular Topics
Recent Journals