Assessing resolvability, parsability, and consistency of RDF resources: a use case in rare diseases.

Journal: Journal of biomedical semantics
Published Date: Dec 5, 2023

Abstract

INTRODUCTION: Healthcare data and the knowledge gleaned from it play a key role in improving the health of current and future patients. These knowledge sources are regularly represented as 'linked' resources based on the Resource Description Framework (RDF). Making resources 'linkable' to facilitate their interoperability is especially important in the rare-disease domain, where health resources are scattered and scarce. However, to benefit from using RDF, resources need to be of good quality. Based on existing metrics, we aim to assess the quality of RDF resources related to rare diseases and provide recommendations for their improvement.

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