.. _intro_to_creating_rdf: ==================== Creating RDF triples ==================== Creating Nodes -------------- RDF data is a graph where the nodes are URI references, Blank Nodes or Literals. In RDFLib, these node types are represented by the classes :class:`~rdflib.term.URIRef`, :class:`~rdflib.term.BNode`, and :class:`~rdflib.term.Literal`. ``URIRefs`` and ``BNodes`` can both be thought of as resources, such a person, a company, a website, etc. * A ``BNode`` is a node where the exact URI is not known. * A ``URIRef`` is a node where the exact URI is knonw. ``URIRef``\s are also used to represent the properties/predicates in the RDF graph. * ``Literals`` represent attribute values, such as a name, a date, a number, etc. The most common literal values are XML data types, e.g. string, int... Nodes can be created by the constructors of the node classes: .. code-block:: python from rdflib import URIRef, BNode, Literal bob = URIRef("http://example.org/people/Bob") linda = BNode() # a GUID is generated name = Literal('Bob') # passing a string age = Literal(24) # passing a python int height = Literal(76.5) # passing a python float Literals can be created from Python objects, this creates ``data-typed literals``, for the details on the mapping see :ref:`rdflibliterals`. For creating many ``URIRefs`` in the same ``namespace``, i.e. URIs with the same prefix, RDFLib has the :class:`rdflib.namespace.Namespace` class:: from rdflib import Namespace n = Namespace("http://example.org/people/") n.bob # = rdflib.term.URIRef(u'http://example.org/people/bob') n.eve # = rdflib.term.URIRef(u'http://example.org/people/eve') This is very useful for schemas where all properties and classes have the same URI prefix. RDFLib defines Namespaces for some common RDF/OWL schemas, including most W3C ones: .. code-block:: python from rdflib.namespace import CSVW, DC, DCAT, DCTERMS, DOAP, FOAF, ODRL2, ORG, OWL, \ PROF, PROV, RDF, RDFS, SDO, SH, SKOS, SOSA, SSN, TIME, \ VOID, XMLNS, XSD RDF.type # = rdflib.term.URIRef("http://www.w3.org/1999/02/22-rdf-syntax-ns#type") FOAF.knows # = rdflib.term.URIRef("http://xmlns.com/foaf/0.1/knows") PROF.isProfileOf # = rdflib.term.URIRef("http://www.w3.org/ns/dx/prof/isProfileOf") SOSA.Sensor # = rdflib.term.URIRef("http://www.w3.org/ns/sosa/Sensor") Adding Triples -------------- We already saw in :doc:`intro_to_parsing`, how triples can be added from files and online locations with with the :meth:`~rdflib.graph.Graph.parse` function. Triples can also be added within Python code directly, using the :meth:`~rdflib.graph.Graph.add` function: .. automethod:: rdflib.graph.Graph.add :noindex: :meth:`~rdflib.graph.Graph.add` takes a 3-tuple (a "triple") of RDFLib nodes. Try the following with the nodes and namespaces we defined previously: .. code-block:: python from rdflib import Graph g = Graph() g.bind("foaf", FOAF) g.add((bob, RDF.type, FOAF.Person)) g.add((bob, FOAF.name, name)) g.add((bob, FOAF.knows, linda)) g.add((linda, RDF.type, FOAF.Person)) g.add((linda, FOAF.name, Literal("Linda"))) print(g.serialize(format="turtle").decode("utf-8")) outputs: .. code-block:: Turtle @prefix foaf: . a foaf:Person ; foaf:knows [ a foaf:Person ; foaf:name "Linda" ] ; foaf:name "Bob" . For some properties, only one value per resource makes sense (i.e they are *functional properties*, or have max-cardinality of 1). The :meth:`~rdflib.graph.Graph.set` method is useful for this: .. code-block:: python g.add((bob, FOAF.age, Literal(42))) print("Bob is ", g.value(bob, FOAF.age)) # prints: Bob is 42 g.set((bob, FOAF.age, Literal(43))) # replaces 42 set above print("Bob is now ", g.value(bob, FOAF.age)) # prints: Bob is now 43 :meth:`rdflib.graph.Graph.value` is the matching query method, it will return a single value for a property, optionally raising an exception if there are more. You can also add triples by combining entire graphs, see :ref:`graph-setops`. Removing Triples ---------------- Similarly, triples can be removed by a call to :meth:`~rdflib.graph.Graph.remove`: .. automethod:: rdflib.graph.Graph.remove :noindex: When removing, it is possible to leave parts of the triple unspecified (i.e. passing ``None``), this will remove all matching triples: .. code-block:: python g.remove((bob, None, None)) # remove all triples about bob An example ---------- LiveJournal produces FOAF data for their users, but they seem to use ``foaf:member_name`` for a person's full name. To align with data from other sources, it would be nice to have ``foaf:name`` act as a synonym for ``foaf:member_name`` (a poor man's one-way ``owl:equivalentProperty``): .. code-block:: python from rdflib.namespace import FOAF g.parse("http://danbri.livejournal.com/data/foaf") for s, p, o in g.triples((None, FOAF['member_name'], None)): g.add((s, FOAF['name'], o)) Note that since rdflib 5.0.0, using ``foaf:member_name`` is somewhat prevented in rdflib since FOAF is declared as a :meth:`~rdflib.namespace.ClosedNamespace` class instance that has a closed set of members and ``foaf:member_name`` isnt one of them!