ML-Schema is an upper ontology for machine learning workflows, inspired by OpenML's data model and created by @joaquinvanschoren and others.
We should map the upper-level concepts in the DSO, like model and data, to concepts in ML-Schema. Actually, the overlap is currently not too big but it may grow over time.
This mapping should be implemented by
external resources in the native format, as we do for Wikidata concepts
ML-Schema is an upper ontology for machine learning workflows, inspired by OpenML's data model and created by @joaquinvanschoren and others.
We should map the upper-level concepts in the DSO, like
model
anddata
, to concepts in ML-Schema. Actually, the overlap is currently not too big but it may grow over time.This mapping should be implemented by