conjunctive_graphs.py

"""

An RDFLib ConjunctiveGraph is an (unnamed) aggregation of all the named graphs
within a Store. The :meth:`~rdflib.graph.ConjunctiveGraph.get_context`
method can be used to get a particular named graph, or triples can be
added to the default graph

This example shows how to create some named graphs and work with the
conjunction of all the graphs.

"""

from rdflib import Namespace, Literal, URIRef
from rdflib.graph import Graph, ConjunctiveGraph
from rdflib.plugins.memory import IOMemory

if __name__=='__main__':


    ns = Namespace("http://love.com#")

    mary = URIRef("http://love.com/lovers/mary#")
    john = URIRef("http://love.com/lovers/john#")

    cmary=URIRef("http://love.com/lovers/mary#")
    cjohn=URIRef("http://love.com/lovers/john#")

    store = IOMemory()

    g = ConjunctiveGraph(store=store)
    g.bind("love",ns)

    gmary = Graph(store=store, identifier=cmary)

    gmary.add((mary, ns['hasName'], Literal("Mary")))
    gmary.add((mary, ns['loves'], john))

    gjohn = Graph(store=store, identifier=cjohn)
    gjohn.add((john, ns['hasName'], Literal("John")))

    #enumerate contexts
    for c in g.contexts():
        print("-- %s " % c)

    #separate graphs
    print(gjohn.serialize(format='n3'))
    print("===================")
    print(gmary.serialize(format='n3'))
    print("===================")

    #full graph
    print(g.serialize(format='n3'))

    # query the conjunction of all graphs

    print('Mary loves:')
    for x in g[mary : ns.loves/ns.hasName]:
        print(x)