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Performance assessment of ontology matching systems for FAIR data.

Philip van DammeJesualdo Tomás Fernández-BreisNirupama BenisJose Antonio Miñarro-GimenezNicolette F de KeizerRonald Cornet
Published in: Journal of biomedical semantics (2022)
Our findings show that the included ontology matching systems automatically produced mappings that were modestly accurate according to our evaluation. The hierarchical analysis of mappings seems promising when no reference alignments are available. All in all, the systems show potential to be implemented as part of an ontology matching service for querying FAIR data. Future research should focus on developing methods for the evaluation of mappings used in such mapping services, leading to their implementation in a FAIR data ecosystem.
Keyphrases
  • healthcare
  • electronic health record
  • big data
  • primary care
  • mental health
  • high resolution
  • human health
  • current status
  • high density