Development of a technically integrable ontology.
A shared semantic model defines business objects, lifecycles and relationships. Domain-aligned and directly usable for system integration
The question
How can end-to-end processes be realised when systems interpret the same business objects differently and do not represent relationships and lifecycles consistently?
Our answer
Starting from the relevant business objects, we developed a shared domain data understanding. Entities, lifecycles and dependencies were modelled graph-based and transferred into a technical ontology. The architecture artefact provided in Turtle format can be integrated directly into existing systems and data platforms.
What we delivered
Consistent definition of central business objects
Entities, properties and lifecycles identified across domains and unambiguously described
Dependencies made visible and usable graph-based
Relationships between business objects represented in a consistent semantic model
From domain model to integrable architecture artefact
The aligned ontology provided in Turtle format for systems and platforms
What it achieved
- Shared data understanding across domains and systems
- Unambiguous object relationships improve data quality and reusability
- A technically usable ontology accelerates downstream data integrations
- A semantic foundation enables scalable automation and AI applications
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