Performance assessment of ontology matching systems for FAIR data.

Journal: Journal of biomedical semantics
Published Date: Jul 15, 2022

Abstract

BACKGROUND: Ontology matching should contribute to the interoperability aspect of FAIR data (Findable, Accessible, Interoperable, and Reusable). Multiple data sources can use different ontologies for annotating their data and, thus, creating the need for dynamic ontology matching services. In this experimental study, we assessed the performance of ontology matching systems in the context of a real-life application from the rare disease domain. Additionally, we present a method for analyzing top-level classes to improve precision.

Authors

  • Philip van Damme
    Department of Medical Informatics, Amsterdam Public Health research institute, Academic Medical Center, University of Amsterdam, The Netherlands. Electronic address: philip.vandamme@student.uva.nl.
  • Jesualdo Tomás Fernández-Breis
    Faculty of Computer Science, Universidad de Murcia, IMIB-Arrixaca, Spain.
  • Nirupama Benis
    Department of Medical Informatics, Amsterdam University Medical Center, Amsterdam, The Netherlands.
  • Jose Antonio Miñarro-Giménez
    Institute of Medical Informatics, Statistics, and Documentation, Medical University of Graz, Austria.
  • Nicolette F de Keizer
    Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Meibergdreef 9, 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.

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