Reference data loaded into knowledge graphs through curated ontologies

General Data Transformations

Ontologies are structured data writing in RDF/XML syntax or in OWL. They are great resources to express very complex and precise domain-specific knowledge. In practice, they aren't that useful by itself because:

  • Not human readable, and you'll need special software like Protege

  • T-box structured

  • Good for schemas, bad for analysis

For more information about the different ontologies in the biomedical space, we recommend checking out the documentation on obo foundry.

For practical reasons we transform ontologies from their T-Box structures into A-Box schemas. In other words, we map a "Class" in an ontology as an Object in the data graph itself.

Inside our labelled property graph, we can use labels to denote the Conceptual hierarchies of your core ontology.

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