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FAIR data representation in times of eScience: a comparison of instance-based and class-based semantic representations of empirical data using phenotype descriptions as example.

Lars Vogt
Published in: Journal of biomedical semantics (2021)
We conclude that, from a conceptual point of view, the advantages of the instance-based ABox semantic graph approach outweigh its shortcomings and outweigh the advantages of the class-based TBox semantic graph approach. Therefore, we recommend the instance-based ABox approach as a FAIR approach for documenting and communicating empirical data and metadata in a knowledge graph.
Keyphrases
  • electronic health record
  • big data
  • convolutional neural network
  • neural network
  • healthcare
  • working memory
  • data analysis
  • deep learning