Assign semantic accountability
Define enterprise architects, domain owners, ontology engineers, data stewards, security reviewers and product consumers.
Semantic governance & OntologyOps
Make enterprise meaning a managed production asset.
SDS establishes the ownership, release controls, validation gates, mapping stewardship and observability required to keep ontology and knowledge graphs trustworthy as the organization changes.
Ontology operating model
Clear accountability from concept proposal to runtime release.
Governance is designed into the delivery pipeline—not added after the graph is live.
Capture change with evidence
Every new concept, relation, constraint or mapping includes rationale, examples, source and affected competency questions.
Run semantic quality gates
Check RDF syntax, OWL consistency, SHACL conformance, naming, documentation, imports and regression queries.
Review business and risk impact
Domain, privacy, compliance, security and model-risk stakeholders approve material changes through a traceable workflow.
Version every dependent artifact
Publish immutable ontology, mappings, shapes, API contracts, graph migrations and release notes together.
Monitor meaning in production
Track validation failures, mapping drift, unknown terms, graph freshness, query quality and downstream impact.
Governance artifacts
Controls teams can inspect and execute.
Semantic decision record
Captures why a modeling decision was made, alternatives considered, owner, evidence and effective release.
SHACL quality contract
Defines required fields, cardinalities, types, identifiers and cross-domain business expectations.
Mapping approval ledger
Records source-to-concept mappings, transformation rules, confidence, steward and validation status.
Change-impact graph
Shows which sources, APIs, data products, models, reports and agents depend on a changed semantic asset.
Model and agent policy
Connects permitted uses, authoritative sources, decision limits and required evidence to AI behavior.
Release evidence pack
Bundles tests, approvals, provenance, migrations, known limitations and rollback instructions.
Operational measures
Know whether shared meaning is actually improving.
| Measure | What it reveals | Example control |
|---|---|---|
| SHACL conformance rate | Whether published graph data meets semantic contracts | Block release on critical violations |
| Mapping coverage and drift | Whether new or changed source fields remain governed | Steward review on unknown fields |
| Ontology change lead time | Whether governance is responsive enough for delivery teams | Risk-tiered review service levels |
| Competency-question pass rate | Whether the graph still answers the business questions it was built for | Regression query gate |
| AI evidence completeness | Whether agent answers expose required sources and context | Evaluation threshold before launch |
Managed OntologyOps
Keep the knowledge layer current, controlled and useful.
Establish the model, workflow and metrics—or let SDS operate them with your teams.