Explains the standards used for metadata
Industry and consensus standards: OMG MOF and XMI for metamodels and their interchange and the Common Warehouse Metamodel, ISO/IEC 11179 for registries, ISO/IEC 19763 for metamodel interoperability, Dublin Core and W3C DCAT for describing published resources.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 53% | Not shown |
| gemini-3.5-flash-lite | Low cost | 50% | Not shown |
| gpt-6-luna | Low cost | 53% | Not shown |
| claude-haiku-5-5 | Low cost | 53% | Not shown |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: Industry and consensus standards: OMG MOF and XMI for metamodels and their interchange and the Common Warehouse Metamodel, ISO/IEC 11179 for registries, ISO/IEC 19763 for metamodel interoperability, Dublin Core and W3C DCAT for describing published resources.
How it is assessed: Answers a CDMP-style multiple-choice question on the metadata standards
All knobits of Metadata management.
Source: DAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 12: Metadata Management, element MV-12