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Levels and building blocks-toward a domain granularity framework for the life sciences.

Lars Vogt
Published in: Journal of biomedical semantics (2019)
The domain granularity framework suggested here is meant to provide the basis on which a more comprehensive information framework for the life sciences can be developed, which would provide the much needed conceptual framework for representing domains that cover multiple granularity levels. This framework can be used for intuitively structuring data in the life sciences, facilitating data exploration, and it can be employed for reasoning over different granularity levels across different hierarchies. It would provide a methodological basis for establishing comparability between data sets and for quantitatively measuring their degree of semantic similarity.
Keyphrases
  • electronic health record
  • big data
  • healthcare
  • machine learning