Knowledge & Data · Software component
Graph Rule Inferencer
Software componentKnowledge & DataKnowledge & Dataarc:GraphRuleInferencer
A knowledge component that applies declared graph rules to stored facts to derive implied facts and compose constraints, returning conclusions with their explicit relationship paths.
Responsibility. Derives facts not explicitly stored by applying graph inference rules.
Also known as: Graph reasoning engine, Rule-based graph reasoner
Relationships
Design guidance
- SHOULD return the chain of relationships supporting each conclusion so answers are transparently interpretable.
Quantitative guidance
As stated by the sources; verify before use.
- Clinical decision support: adverse drug events -23%, guideline compliance +40%, latency under 3 s for multi-condition queries (Ch5.8).
Classification
- Patterns
- Transitive closureMulti-hop constraint compositionPath-based justification
- Quality attributes
- Explainability (NIST AI RMF: explainable and interpretable)Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)
- Risks mitigated
- Probabilistic, unexplainable answersUnsafe combinations missed by similarity search
Sources
- Ch5.8: T. Nguyen, "Semantic Memory," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 5.8. ISBN: 9798244538229.