The single source
of business truth.
The ontology encodes what your enterprise means. Every concept, every relationship, every rule. Human-governed. Mathematically linked to the infrastructure that implements it. The foundation everything else builds on.
Closed World Assumption
If it is not modeled,
it is unknown.
The semantic web uses the Open World Assumption: anything not stated is possible. That works for academic research. For enterprise operations, it is catastrophic. Coherence enforces a Closed World. Unmodeled things are flagged, not accepted. This is what regulators require.
Open World
"We have no compliance record for this service, so it might be compliant."
Closed World
"We have no compliance record for this service, so we flag it."
What the Ontology Contains
Concepts. Relationships. Rules.
23 concept types organized across 6 architectural zones. Connected by 31 canonical relationship verbs. Governed by 7 cross-layer structural rules. This metamodel works for banking, pharma, insurance, defence, automotive, SaaS.
23 concept types
Entity, process, regulation, system, risk, goal, capability, control. Each carries specific evidence expectations.
6 zones
Motivation, Strategy, Capability, Operations, Governance, Risk. Every concept lives in its architectural zone.
31 verbs
drives, enforces, enabled_by, constrains, integrates_with. Relationships encode meaning.
Data catalog vs. ontology.
| Dimension | Data Catalog | Coherence |
|---|---|---|
| Starting point | Physical tables and columns | Business concepts and relationships |
| Direction | Bottom-up. Hope meaning emerges. | Top-down. Meaning defined first. |
| Linking | Manual tagging by humans | Mathematical linking via ontology |
| Code depth | Metadata only | Function-level AST parsing across 9 languages |
| AI | Chatbot on top of docs | Governed agents operating on typed graph |
| Execution | Read-only observation | Governed execution via the FOO SDK |
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