
Ontology Engineering
Ontologies are the backbone of any semantic technology initiative. They provide a shared, formal vocabulary that enables machines to reason about your data the way humans do. Our ontology engineers work with your domain experts to capture institutional knowledge in precise, standards-based models that integrate across systems and scale with your business.
What's included
- Domain analysis and conceptual modelling workshops
- OWL/RDF/SHACL ontology development
- Upper ontology alignment (BFO, DOLCE, schema.org)
- Taxonomy and controlled vocabulary design (SKOS)
- Cross-domain ontology integration
- Industry standard extension (FIBO, OSDU, ISO 15926)
Business impact
- Eliminate data ambiguity across departments and systems
- Enable machine-readable business rules and policies
- Future-proof your data architecture for AI and automation
- Reduce integration costs by up to 60% with shared vocabularies
- Comply with industry standards (ISO, FIBO, schema.org)
Our process
A proven methodology refined across dozens of enterprise engagements.
Discovery
Stakeholder interviews and domain analysis to understand your data landscape, pain points, and strategic objectives.
Conceptual Modelling
Collaborative workshops to capture domain concepts, relationships, and constraints in a formal model.
Ontology Development
Engineering production-grade OWL/RDF ontologies with SHACL validation and alignment to upper ontologies.
Integration & Testing
Connecting the ontology to your data sources, validating consistency, and iterating based on real-world queries.
Governance Handover
Establishing ownership, change management processes, and training your team to maintain and evolve the ontology.
Frequently asked questions
Ready to get started?
Book a 30-minute consultation to discuss how ontology engineering can accelerate your semantic technology programme.
