5. The Semantic Contract

DACS depends on a Semantic Contract.

A Semantic Contract is the governed agreement that defines how an enterprise interprets business concepts, identifies instances of those concepts, classifies them, relates them, constrains their use, and preserves their meaning over time.

It is more than a glossary, more than a BI semantic layer, and more than a collection of tags, descriptions, or documentation.

In DACS, the Semantic Contract is the governed agreement that allows information to be evaluated for decision readiness. It establishes how meaning, identity, classification, relationships, context, constraints, and use are governed for the stated decision scope.

Without a Semantic Contract, the enterprise may still have data, models, metrics, dashboards, and AI outputs. What it lacks is a governed basis for determining whether those outputs mean what the business thinks and agrees that they mean.

DACS defines three essential building blocks of the Semantic Contract before extending it to AI-assisted decision scopes. These three building blocks are: Extended Taxonomy, Extended Ontology, and Business Identity.

5.1 Extended Taxonomy

The Extended Taxonomy defines governed classification and physical semantic anchoring.

Extended Taxonomy extends controlled and approved business meaning into the physical data estate. It binds approved concepts to source systems, physical attributes, Business Identity, semantic grain, ownership, provenance, authority, and permitted use.

That binding matters because business meaning alone does not establish decision readiness, and physical data alone does not establish what the business thinks the data means. Two fields or identifiers are not equivalent merely because their names look similar; they must represent the same governed concept at the required grain for the stated decision scope.

At the doctrine level, the requirement is simple: governed meaning must be traceable to the physical evidence used by the decision, with enough authority and context to test whether that evidence is eligible for the stated use.

5.2 Extended Ontology

The Extended Ontology defines governed relationship meaning and physical relationship anchoring.

Extended Ontology extends governed relationship meaning into the physical data estate. It binds or anchors relationship type, source, orientation, semantic grain, provenance, constraints, and permitted use to the real structures and paths that represent the relationship.

While discovery remains valuable, a join, graph edge, lineage path, or inferred association may reveal a real connection, but it does not by itself establish that the relationship is valid for material use.

But discovery is not automatic trust.

Material relationships must be testable for meaning, direction, authority, evidence, constraints, and stated use. DACS uses Strength, Confidence, and Orientation to make the force, evidentiary support, and direction of a material relationship explicit.

The purpose is not to suppress discovery. It is to connect governed relationship meaning to real-world evidence so the organization can determine whether a relationship path is permitted, constrained, stopped, or Quarantined for the decision scope.

5.3 Business Identity

Business Identity anchors specific instances of governed concepts.

The Extended Taxonomy tells the enterprise what kind of thing something is. The Extended Ontology tells the enterprise how that kind of thing is allowed to relate to other things. Business Identity tells the enterprise which specific instance is involved.

DACS does not require one universal key. It requires enough evidence to show which specific business instance is involved, at what semantic grain, from which source or authority, which identity or resolution rule established it, and how material conflicts, if they arise, are resolved for the stated use.

Decision readiness cannot be established if the enterprise cannot demonstrate, through evidence, which business instance the decision path refers to. A classification may be correct, and a relationship may be permitted, but the decision can still fail if the wrong customer, account, contract, product, asset, or event is being counted, compared, joined, inferred, or acted upon.

Without Business Identity, the enterprise can classify concepts and define relationships, but it cannot reliably compare history, reconcile systems, resolve conflicts, reconstruct decisions, or defend analytics.

5.4 The Contract as a Whole

The Semantic Contract is formed when governed meaning, physical semantic anchoring, Business Identity, relationship rules, preserved context, Gate criteria, stewardship, versioning, usage boundaries, and audit expectations are brought together as decision evidence.

It is not a single artifact. It is the governed agreement that allows the enterprise to determine whether information means what it claims to mean, refers to the correct business instance, relates through an approved path, and is ready for the decision scope in which it is to be used.

Together, the components of the Semantic Contract answer:

• What does this concept mean, and which specific business instance is involved?
• How is it classified and physically represented across systems?
• How may it relate to other concepts or instances, and what orientation governs the relationship?
• What context, authority, usage boundaries, or constraints apply?
• What evidence and Gate criteria govern movement toward the stated use?
• What readiness state applies, and can the decision path be reconstructed?

Without the Semantic Contract, identities, meanings, classifications, and relationships can become informal assumptions.

With the Semantic Contract, they can be governed, tested, and recorded as accountable decision evidence.

5.5 The Binding AI Context Contract

For AI-assisted decision scopes, the Semantic Contract becomes a Binding AI Context Contract.

The Binding AI Context Contract defines the governed context against which AI behavior can be tested. It combines Extended Taxonomy, Extended Ontology, Business Identity, preserved context, relationship vectors, permitted paths, prohibited paths, governance constraints, Gate criteria, drift rules, and decision-scope evidence requirements.

Its purpose is not to prevent AI from discovering patterns, generating classifications, inferring relationships, or recommending actions. Those capabilities are valuable. Its purpose is to provide a governed basis for testing whether AI-assisted outputs remain aligned with governed meaning, approved identity, permitted relationships, valid context, and the stated decision scope.

Without a Binding AI Context Contract, AI governance remains dependent on general policy, model behavior, prompt design, or human interpretation after the fact. With the contract, AI inputs, outputs, inferred relationships, generated classifications, recommendations, and semantic or relationship drift can be tested against governed meaning and permitted relationship paths.

The result is not automatic trust. The result is a recorded Gate readiness state. A governed process routes AI-assisted evidence through the applicable controls, and the Gate records the resulting readiness state under the responsible authority or approved rule.

This is one reason DACS extends the taxonomy and ontology. The extension creates a governed context contract that is testable through Gates. It gives AI a decision-scope boundary, a semantic boundary, a relationship boundary, and an evidence boundary before AI-assisted outputs are treated as decision-ready.