RxNorm

Description: normalized names for clinical drugs and links its names to many of the drug vocabularies commonly used in pharmacy management and drug interaction software, including those of First Databank, Micromedex, and Gold Standard Drug Database

Cross-references: fairsharing:FAIRsharing.36pf8q, https://github.com/NCATSTranslator/Translator-All/wiki/RxNORM

Edge Categories Distribution

Epistemic Robustness

Epistemic Robustness measures the provenance quality of edges from this knowledge source, using Knowledge Level and Agent Type from the Biolink Model to assess evidence strength and reliability. Higher scores indicate stronger evidence and greater manual curation.

0.60
Average Epistemic Score

1.00
Knowledge Level Score
Most common: Knowledge Assertion

0.20
Agent Type Score
Most common: Automated Agent

82,912
Edges Included

0
Edges with Missing Provenance
(Both Knowledge Level and Agent Type not provided)

Edge Type Validation

This section shows the validation of edge types in this knowledge source against the recognized biolink schema patterns.

24,922
Recognized Edges
( 30.1 %)

57,922
Unrecognized Edges
( 69.9 %)

ABox / TBox Classification

The TBox-to-ABox balance reflects how much a knowledge graph emphasizes abstract schema versus concrete instances—too much of either can hinder effective learning and reasoning.

37,932
ABox Edges
( 45.8 %)

37,712
TBox Edges
( 45.5 %)

7,200
Undefined
( 8.7 %)