Governance Frameworks
Building an ontology or knowledge graph is only half the challenge - sustaining it requires rigorous governance. We design operating models that ensure your semantic assets remain accurate, current, and aligned with business objectives. From stewardship roles to automated quality checks, we build the human and technical infrastructure for long-term success.
“Semantic Partners accelerated our delivery and helped us create our Semantic Layer through their deep expertise in knowledge graphs. They were a highly effective partner throughout.”
Natasa Varytimou
Head of Data Architecture & UBS Ontologies, EDMS | Executive Director
UBS
What's included
- Ontology governance operating models
- Change management and versioning
- Quality metrics and validation (SHACL constraints)
- Stewardship roles and responsibilities
- Integration with enterprise data governance
Business impact
- Ensure ontology accuracy and consistency over time
- Define clear ownership and stewardship roles
- Automate quality validation with SHACL constraints
- Align semantic governance with enterprise data governance
- Reduce maintenance costs through structured processes
Our process
A proven methodology refined across dozens of enterprise engagements.
Governance Assessment
Evaluating your current data governance maturity and identifying gaps specific to semantic asset management.
Operating Model Design
Defining roles, responsibilities, decision rights, and workflows for ontology and knowledge graph governance.
Quality Framework
Implementing SHACL constraints, automated validation, and quality metrics dashboards.
Change Management
Establishing versioning policies, review processes, and communication channels for ontology evolution.
Training & Adoption
Training stewards and stakeholders, embedding governance into existing workflows, and measuring adoption.
Frequently asked questions
Ready to get started?
Book a 30-minute consultation to discuss how governance frameworks can accelerate your semantic technology programme.