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LinkML is (among other things) a sort of YAML-based unified constraint language, implementing e.g. shape subclassing and an import system able to fetch remote LinkML shapes.
LinkML is (at least) as expressive as SHACL as a constraint language and supports derivation of SHACL graphs and GraphQL configs from LinkML YAML definitions - it may therefore be very well possible to use LinkML as a single source of truth for any modern Semantic Application.
Also: LinkML tooling is natively implemented in Python!
One cool idea for a future rdfproxy feature would be to implement logic for deriving rdfproxy-compliant SPARQL queries and respective Pydantic models from a LinkML YAML source.
In the best case, this would allow to auto-generate a full rdfproxy-based backend from a LinkML definition.
The text was updated successfully, but these errors were encountered:
LinkML is (among other things) a sort of YAML-based unified constraint language, implementing e.g. shape subclassing and an import system able to fetch remote LinkML shapes.
LinkML is (at least) as expressive as SHACL as a constraint language and supports derivation of SHACL graphs and GraphQL configs from LinkML YAML definitions - it may therefore be very well possible to use LinkML as a single source of truth for any modern Semantic Application.
Also: LinkML tooling is natively implemented in Python!
One cool idea for a future
rdfproxy
feature would be to implement logic for derivingrdfproxy
-compliant SPARQL queries and respective Pydantic models from a LinkML YAML source.In the best case, this would allow to auto-generate a full
rdfproxy
-based backend from a LinkML definition.The text was updated successfully, but these errors were encountered: