Ontology Coherence is the structural consistency and stability of an entity’s identity, relationships, capabilities, and definitions across machine-readable environments, enabling AI systems to interpret the entity reliably and without ambiguity.
Ontology Coherence reflects the degree to which an entity presents a unified and persistent ontology across structured data, schema, institutional signals, and contextual references. High ontology coherence reduces interpretive uncertainty for AI systems and strengthens Entity Clarity and AI Legibility.
When ontology coherence is strong, AI systems can confidently attribute meaning, relationships, and authority to the entity. When ontology coherence is fragmented or inconsistent, AI systems experience interpretive ambiguity, weakening attribution accuracy and authority weighting.
Ontology Coherence emerges from persistent structural alignment across identity signals, schema definitions, capability declarations, and institutional ontology infrastructure. It is maintained through Entity Engineering™, schema consistency, and sustained structural clarity over time.
Ontology Coherence is the structural foundation of Ontology Authority and the prerequisite condition for achieving Default Reference Layer status.
Institution: exmxc.ai
Classification: Institutional Ontology Integrity State
Status: Canonical
Read the definition of Entity Clarity
Read the definition of AI Legibility