.. _plugin_parsers: Plugin parsers ============== Plugin parsers ============== These serializers are available in default RDFLib, you can use them by passing the name to graph's :meth:`~rdflib.graph.Graph.parse` method:: graph.parse(my_url, format='n3') The ``html`` parser will auto-detect RDFa, HTurtle or Microdata. It is also possible to pass a mime-type for the ``format`` parameter:: graph.parse(my_url, format='application/rdf+xml') If you are not sure what format your file will be, you can use :func:`rdflib.util.guess_format` which will guess based on the file extension. ========= ==================================================================== Name Class ========= ==================================================================== json-ld :class:`~rdflib.plugins.parsers.jsonld.JsonLDParser` hext :class:`~rdflib.plugins.parsers.hext.HextuplesParser` n3 :class:`~rdflib.plugins.parsers.notation3.N3Parser` nquads :class:`~rdflib.plugins.parsers.nquads.NQuadsParser` nt :class:`~rdflib.plugins.parsers.ntriples.NTParser` trix :class:`~rdflib.plugins.parsers.trix.TriXParser` turtle :class:`~rdflib.plugins.parsers.notation3.TurtleParser` xml :class:`~rdflib.plugins.parsers.rdfxml.RDFXMLParser` ========= ==================================================================== Multi-graph IDs --------------- Note that for correct parsing of multi-graph data, e.g. Trig, HexT, etc., into a ``ConjunctiveGraph`` or a ``Dataset``, as opposed to a context-unaware ``Graph``, you will need to set the ``publicID`` of the ``ConjunctiveGraph`` a ``Dataset`` to the identifier of the ``default_context`` (default graph), for example:: d = Dataset() d.parse( data=""" ... """, format="trig", publicID=d.default_context.identifier ) (from the file tests/test_serializer_hext.py)