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-LD for 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:

python setup.py install

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