ROBOKOP

Version: 30fd1bfc18cd5ccb

Overview

Nodes

4,648,203

Edges

23,332,345

Normalization Rate

99.9%

Provenance Rate

100.0%

Knowledge Source Flow

The diagram below shows how knowledge flows from primary sources into ROBOKOP.

Normalization Pipeline

The normalization pipeline shows how data flows from the original knowledge graph through transformation and normalization stages.

Epistemic Robustness measures the provenance quality of edges from this knowledge graph, 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.

0.78
Average Epistemic Score

0.79
Knowledge Level Score
Most common: Knowledge Assertion

0.77
Agent Type Score
Most common: Manual Agent

25,516,629
Edges Included

3,376,373
Edges with Missing Provenance
(Both Knowledge Level and Agent Type not provided)

Edge Type Validation

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

No edge validation data available for this knowledge graph.

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.

No ABox/TBox data available for this knowledge graph.

Contribution Summary

This section shows the top categories and predicates contributed by this knowledge graph to the unified graph.