These python scripts connect to the Unified Medical Language System (UMLS) database and translate the ontologies into RDF/OWL files. This is part of the BioPortal project.
when a medicinal product has multiple active ingredients, such as this one, it appears that some information is lost in the RDF representation.
we can see from the preferred name "Aspirin 325 mg and oxycodone hydrochloride 2.25 mg and oxycodone terephthalate 190 microgram oral tablet" that 325 has unit mg, and 2.25 has unit mg, and 190 has unit microgram but that doesn't seem to be reflected in the triples.
that is, to determine what unit is associated with a quantity you'd have to resort to parsing the preferred name string.
is umls2rdf losing information present in SNOMED_CT?
when a medicinal product has multiple active ingredients, such as this one, it appears that some information is lost in the RDF representation.
we can see from the preferred name "Aspirin 325 mg and oxycodone hydrochloride 2.25 mg and oxycodone terephthalate 190 microgram oral tablet" that 325 has unit mg, and 2.25 has unit mg, and 190 has unit microgram but that doesn't seem to be reflected in the triples.
that is, to determine what unit is associated with a quantity you'd have to resort to parsing the preferred name string.
is umls2rdf losing information present in SNOMED_CT?