Domain knowledge supplies the specialized context needed to make intelligent systems accurate, explainable, and useful in scientific or professional settings. It grounds large language model responses, supports knowledge-graph design, and helps translate analytical results into actionable interpretations. section 1.0 section 4.3.2
Use domain knowledge to:
- Select and validate graph features, metrics, relationships, and pruning decisions for a specific machine-learning task. section 10.4
- Interpret quantitative pathway rankings in their biological and clinical context rather than treating scores as conclusions. section 4.3.2
- Refine established knowledge bases through expert feedback and use them to constrain advisory systems. section 2.2.3
Biomedical pathway analysis
An LLM interprets celiac-disease pathway results by connecting T-cell costimulation, tolerance induction, and glycoprotein regulation to disease mechanisms and clinical research implications. section 4.3.2
