RDFLib

RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information as graphs.

RDFLib may be installed with setuptools (easy_install) or pip::

$ easy_install rdflib

or

$ pip install rdflib

Alternatively manually download the package from the Python Package Index (PyPI) at https://pypi.python.org/pypi/rdflib

The current version of RDFLib is 4.2.1, see the CHANGELOG.md file for what's new.

Getting Started

RDFLib aims to be a pythonic RDF API, a Graph is a python collection of RDF Subject,Predicate,Object Triples:

import rdflib
g=rdflib.Graph()
g.load('http://dbpedia.org/resource/Semantic_Web')

for s,p,o in g:
  print s,p,o

The components of the triples are URIs (resources) or Literals (values), URIs are grouped together by namespace, common namespaces are included in RDFLib:

semweb=rdflib.URIRef('http://dbpedia.org/resource/Semantic_Web')
type=g.value(semweb, rdflib.RDFS.label)

Where rdflib.RDFS is the RDFS Namespace, graph.value returns an object of the triple-pattern given (or an arbitrary one if more exist). New Namespaces can also be defined:

dbpedia=Namespace('http://dbpedia.org/ontology/')

abstracts=list(x for x in g.objects(semweb, dbpedia['abstract']) if x.language=='en')

See also ./examples

Features

The library contains parsers and serializers for RDF/XML, N3, NTriples, N-Quads, Turtle, TriX, RDFa and Microdata.

The library presents a Graph interface which can be backed by any one of a number of Store implementations.

This core RDFLib package includes store implementations for in memory storage and persistent storage on top of the Berkeley DB.

A SPARQL 1.1 implementation is included - supporting SPARQL 1.1 Queries and Update statements.

RDFLib is open source and is maintained on GitHub. RDFLib releases, current and previous are listed on PyPI

RDFLib has a plugin-architecture for store-implementation, as well as parsers/serializers, several other projects exist which extend RDFLib features:

• rdflib-json - Serializer and parser for json-ld

Support

More information is available on the project webpage:

https://github.com/RDFLib/rdflib/

Continuous integration status details available from travis.ci, test coverage from coveralls:

The documentation can be built by doing::

$ python setup.py build_sphinx

And is also available from ReadTheDocs:

http://rdflib.readthedocs.org

Support is available through the rdflib-dev group:

http://groups.google.com/group/rdflib-dev

and on the IRC channel #rdflib on the freenode.net server