def test_query_graph():
from sematch.sparql import QueryGraph
qg = QueryGraph()
concepts = ['http://dbpedia.org/class/yago/Film106262567',
'http://dbpedia.org/class/yago/Film103339296',
'http://dbpedia.org/class/yago/Film103338648',
'http://dbpedia.org/class/yago/Movie106613686',
'http://dbpedia.org/class/yago/Film103338821']
entity = 'http://dbpedia.org/resource/Hal_Roach'
assert 'http://dbpedia.org/resource/Luke_Pipes_the_Pippins' in qg.type_entity_query(concepts,entity)
def test_query_graph():
from sematch.sparql import QueryGraph
qg = QueryGraph()
concepts = [
'http://dbpedia.org/class/yago/Film106262567',
'http://dbpedia.org/class/yago/Film103339296',
'http://dbpedia.org/class/yago/Film103338648',
'http://dbpedia.org/class/yago/Movie106613686',
'http://dbpedia.org/class/yago/Film103338821'
]
entity = 'http://dbpedia.org/resource/Hal_Roach'
assert 'http://dbpedia.org/resource/Luke_Pipes_the_Pippins' in qg.type_entity_query(
concepts, entity)
class EntitySearch:
"""This class is used for concept based entity search in DBpedia"""
def __init__(self):
self._linker = NameSPARQL()
self._extracter = Extraction()
self._yago = YagoTypeSimilarity()
self._query_graph = QueryGraph()
def query_process(self, query):
"""
Process query into concept (common noun) and entity (proper noun). Link them
to Knowledge Graph uri links respectively.
:param query: short text query
:return: tuple of concepts and entities in uris.
"""
concepts = self._extracter.extract_words_sent(query)
entities = self._extracter.extract_chunks_sent(query)
concept_uris = list(itertools.chain.from_iterable(map(self._yago.word2yago, concepts)))
entity_uris = list(itertools.chain.from_iterable(map(self._linker.name2entities, entities)))
return list(set(concept_uris)), list(set(entity_uris))
def search(self, query):
results = []
concepts, entities = self.query_process(query)
for e in entities:
for i in xrange(0, len(concepts), 5):
results.extend(self._query_graph.type_entity_query(concepts[i:i + 5], e))
return list(set(results))
def __init__(self):
self._linker = NameSPARQL()
self._extracter = Extraction()
self._yago = YagoTypeSimilarity()
self._query_graph = QueryGraph()