Store implementation for RDFlib using Django models as its backend
A store implementation for rdflib that uses Django as its backend.
The current implementation is context-aware but not formula-aware. Furthermore, performance has not yet been considered.
The implementation assumes that contexts are used for named graphs.
Install rdflib-django with your package manager:
pip install rdflib-django
Add rdflib_django to your INSTALLED_APPS:
INSTALLED_APPS = ( # other apps 'rdflib_django'. )
You can now use the following examples to obtain a graph.
Getting a graph using rdflib’s store API:
from rdflib import Graph graph = Graph('Django') graph.open(create=True)
This example will give you a graph identified by a blank node within the default store.
Getting a conjunctive graph using rdflib’s store API:
from rdflib import ConjunctiveGraph graph = ConjunctiveGraph('Django')
This example will give you a conjunctive graph in the default store.
Getting a named graph using rdflib-django’s API:
from rdflib_django import utils graph = utils.get_named_graph('http://example.com')
Getting the conjunctive graph using rdflib-django’s API:
from rdflib_django import utils graph = utils.get_conjunctive_graph()
rdflib-django includes two management commands to import and export RDF:
$ python manage.py import_rdf --context=http://example.com my_file.rdf $ python manage.py export_rdf --context=http://example.com
rdflib-django is licensed under the MIT license.
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