GitHub - RDFLib/rdflib-jsonld: JSON-LD parser and serializer plugins for RDFLib (original) (raw)

RDFLib plugin providing JSON-LD parsing and serialization

ARCHIVED

This rdflib plugin is deprecated for, as of the 2021-09-17 release of rdflib 6.0.1, JSON-LD handing has been integrated. All functionality in this package has been removed, as of release 0.6.2.

This plugin is now 'tombstoned' meaning this - 0.6.2 - is a final release and all users of Python > 3.6 are encouraged to move to rdflib > 6.0.1.

If you are forced to keep using Python <= 3.6, you will need to keep using release <= 0.5.0 of this plugin with RDFlib 5.0.0.

This is an implementation of JSON-LDfor RDFLib. For more information about this technology, see the JSON-LD website.

This implementation will:

• read in an JSON-LD formatted document and create an RDF graph
• serialize an RDF graph to JSON-LD formatted output

Installation

The easiest way to install the RDFLib JSON-LD plugin is directly from PyPi using pip by running the command below:

pip install rdflib-jsonld

Otherwise you can download the source and install it directly by running:

Using the plug-in JSONLD serializer/parser with RDFLib

The plugin parser and serializer are automatically registered if installed by setuptools.

from rdflib import Graph, plugin from rdflib.serializer import Serializer

testrdf = """ ... @prefix dcterms: http://purl.org/dc/terms/ . ... http://example.org/about ... dcterms:title "Someone's Homepage"@en . ... """

g = Graph().parse(data=testrdf, format='n3')

print(g.serialize(format='json-ld', indent=4)) { "@id": "http://example.org/about", "http://purl.org/dc/terms/title": [ { "@language": "en", "@value": "Someone's Homepage" } ] }

context = {"@vocab": "http://purl.org/dc/terms/", "@language": "en"} print(g.serialize(format='json-ld', context=context, indent=4)) { "@context": { "@language": "en", "@vocab": "http://purl.org/dc/terms/" }, "@id": "http://example.org/about", "title": "Someone's Homepage" }

Building the Sphinx documentation

If Sphinx is installed, Sphinx documentation can be generated with:

$ python setup.py build_sphinx

The documentation will be created in ./build/sphinx.

Continuous integration tests