KG-based interpretability and discovery connects co-occurring entities through ontology paths. These paths explain why entities appear together, validate extracted entities, and reveal knowledge absent from the original sentence. section 7.7.3
A practical analysis pipeline:
- Extract and disambiguate entities, then identify co-occurring pairs in the same sentence. section 7.7.3
- Traverse ontology relationships to retrieve explanatory or newly informative paths. section 7.7.3
- Query co-occurrence counts and sentence context to prioritize and ground findings. section 7.7.3
Medical entity analysis
AIDS and hepatitis co-occur in donation-risk sentences. SNOMED paths connect both to infectious disease and inflammatory liver disorder, explaining the wording; other paths expose hepatomegaly associated with AIDS and lupus hepatitis. Similar queries connect Zika virus with diseases, phenotypes, and related viruses.
