Plugin parsers — rdflib 7.1.4 documentation (original) (raw)

These serializers are available in default RDFLib, you can use them by passing the name to graph’s 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 rdflib.util.guess_format() which will guess based on the file extension.

Name Class
json-ld JsonLDParser
hext HextuplesParser
n3 N3Parser
nquads NQuadsParser
patch RDFPatchParser
nt NTParser
trix TriXParser
turtle TurtleParser
xml RDFXMLParser

Multi-graph IDs

Note that for correct parsing of multi-graph data, e.g. Trig, HexT, etc., into a Dataset, as opposed to a context-unaware Graph, you will need to set the publicID of the 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)