def sesame_is_sparql_test(self):
url = 'http://dbpedia.org/sparql'
g1 = SesameGraph(url)
g2 = SPARQLGraph(url)
q1 = "select distinct ?Concept where {[] a ?Concept} LIMIT 10"
r1 = set(list(g1.query(q1,resultMethod='xml')))
r2 = set(list(g2.query(q1,resultMethod='xml')))
assert r1==r2
def find_relationships(person1, person2):
graph = SPARQLGraph('http://dbpedia.org/sparql')
query = '''
PREFIX dcterms: <http://purl.org/dc/terms/>
PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
SELECT DISTINCT ?p ?o WHERE {
<%s> ?p ?o .
<%s> ?p ?o .
FILTER (?p != <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> && ?p != <http://dbpedia.org/property/wikiPageUsesTemplate> && ?p != <http://dbpedia.org/property/wordnet_type> )
}
'''
query = query % (person1, person2)
relationships = []
for r in graph.query(query, resultMethod='json'):
relationships.append((str(r[0]), str(r[1])))
return relationships
def find_related(self):
"""Find related Linked Data.
Returns:
A list of the URIs of the related Linked Data.
"""
related_concepts = []
if not self._is_dbpedia_uri():
return related_concepts
graph = SPARQLGraph('http://dbpedia.org/sparql')
# query = '''
# PREFIX dcterms: <http://purl.org/dc/terms/>
# PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
# SELECT DISTINCT ?c WHERE {
# {
# <%s> dcterms:subject ?cat .
# ?c dcterms:subject ?cat .
# } UNION {
# <%s> dcterms:subject ?cat .
# ?n_cat skos:broader ?cat .
# ?c dcterms:subject ?n_cat .
# } UNION {
# <%s> dcterms:subject ?cat .
# ?cat skos:broader ?n_cat .
# ?c dcterms:subject ?n_cat .
# }
# }'''
# query = query % (self.uri, self.uri, self.uri)
query = '''
PREFIX dcterms: <http://purl.org/dc/terms/>
PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
SELECT DISTINCT ?c WHERE {
{
<%s> dcterms:subject ?cat .
?c dcterms:subject ?cat .
}
}'''
query = query % self.uri
# i = 0
for r in graph.query(query, resultMethod='json'):
# if i > 10:
# break
if str(r[0]) != self.uri:
related_concepts.append(str(r[0]))
# i += 1
return related_concepts
def find_persons_share_prop(person, preidicate, value):
graph = SPARQLGraph('http://dbpedia.org/sparql')
query = '''
PREFIX dcterms: <http://purl.org/dc/terms/>
PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT DISTINCT ?other_person WHERE {
<%s> <%s> %s .
?other_person a <http://dbpedia.org/ontology/Person> ;
<%s> %s .
}
'''
query = query % (person, preidicate, value, preidicate, value)
relationships = []
for r in graph.query(query, resultMethod='json'):
relationships.append(str(r[0]))
return relationships
def find_related_persons(person_uri):
graph = SPARQLGraph('http://dbpedia.org/sparql')
query = '''
PREFIX dcterms: <http://purl.org/dc/terms/>
PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
SELECT DISTINCT ?other_person ?o WHERE {
<%s> dcterms:subject ?o .
?other_person a <http://dbpedia.org/ontology/Person> ;
dcterms:subject ?o .
} LIMIT 1000
'''
# query = '''
# PREFIX dcterms: <http://purl.org/dc/terms/>
# PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
# SELECT DISTINCT ?other_person ?p WHERE {
# <%s> ?p ?other_person.
# ?other_person a <http://dbpedia.org/ontology/Person> .
# }
# '''
query = query % person_uri
related_concepts = []
for r in graph.query(query, resultMethod='json'):
related_concepts.append((str(r[0]), str(r[1])))
return related_concepts
from rdfalchemy.sparql import SPARQLGraph
url = 'http://bel-epa.com:8080/joseki/ukpp'
g = SPARQLGraph(url)
q1 = "select ?s ?p ?o where {?s ?p ?o} LIMIT 10"
responses = {}
x = set(list(g.query(q1, resultMethod='xml')))
j = set(list(g.query(q1, resultMethod='json')))
print(len(x))
def sizes_test():
assert len(x) == len(j)
def eq_jx_test():
assert j == x
