Open edmondchuc opened 1 month ago
A usage[^1] pattern I have is similar to your first heading, @edmondchuc . I have workflows that generate Git-tracked example data - most often in Turtle and/or JSON-LD. The steps I take are:
One example is in these Makefile lines, which call a Python wrapper to pyld.jsonld.compact
here.
I wrote that logic a while before rdflib-jsonld
was integrated into rdflib
, and never got around to looking. Is there access to a compaction function in rdflib
somewhere that obviates this usage pattern?
[^1]: Participation by NIST in the creation of the documentation of mentioned software is not intended to imply a recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that any specific software is necessarily the best available for the purpose.
We are collecting common use cases and patterns with working with JSON-LD in RDFLib and pyld and plan to add them to the RDFLib documentation.
The below details copied from this comment: https://github.com/RDFLib/rdflib/issues/2308#issuecomment-2227524343
The pyld + RDFLib things I normally do:
Getting RDF into a framed JSON-LD
from_rdf
functionThe above is the same for compaction and expansion by using the relevant function in the pyld processor.
Parsing JSON-LD with pyld and loading into an RDFLib graph
normalize
functionto_rdf
function without the normalization algorithm. This is potentially faster.