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

These serializers are available in default RDFLib, you can use them by passing the name to a graph’s serialize() method:

print graph.serialize(format='n3')

It is also possible to pass a mime-type for the format parameter:

graph.serialize(my_url, format='application/rdf+xml')

JSON-LD¶

JSON-LD - ‘json-ld’ - has been incorporated into RDFLib since v6.0.0.

RDF Patch¶

The RDF Patch Serializer - ‘patch’ - uses the RDF Patch format defined at https://afs.github.io/rdf-patch/. It supports serializing context aware stores as either addition or deletion patches; and also supports serializing the difference between two context aware stores as a Patch of additions and deletions.

HexTuples¶

The HexTuples Serializer - ‘hext’ - uses the HexTuples format defined at https://github.com/ontola/hextuples.

For serialization of non-context-aware data sources, e.g. a single Graph, the ‘graph’ field (6th variable in the Hextuple) will be an empty string.

For context-aware (multi-graph) serialization, the ‘graph’ field of the default graph will be an empty string and the values for other graphs will be Blank Node IDs or IRIs.

Longturtle¶

Longturtle is just the turtle format with newlines preferred over compactness - multiple nodes on the same line to enhance the format’s text file version control (think Git) friendliness - and more modern forms of prefix markers - PREFIX instead of @prefix - to make it as similar to SPARQL as possible.

Longturtle is Turtle 1.1 compliant and will work wherever ordinary turtle works, however some very old parsers don’t understand PREFIX, only @prefix…