EvOpen source
EvoOntology
Expose a versioned ontology layer to data agents and evolve it using execution evidence and paired evaluations.
Ontology & Semantic Modeling
NVIDIA Auto Ontology
Build a semantic catalog from enterprise metadata and give agents consistent business definitions and query context.
At a glance
- Input
- Relational sources, metadata, existing semantic models
- Output
- Semantic catalog, ontology layer, queries
- Provenance
- Data lineage and query provenance; not page coordinates
- Scanned pages
- Not applicable; parse documents upstream
- Deployment
- Self-hosted
- Availability
- Open source
- Costs to plan for
- Compute or model API costs
Semantic modeling profile
Agent ontology layer
Representation and interoperability
Semantic catalog over source metadata; do not assume OWL interchange.
Updates and versioning
Certified corrections can improve shared context; verify the version policy.
Limitations to check
Requires connected sources and inference services. Generated business definitions need certification; do not assume the output uses a standard OWL representation.
Build a meaningful sample
Test ambiguous terms, conflicting metric definitions, source mappings, and schema changes. Check how revisions affect the same workload.