def toRDF(self):
clss = nameSpaceByName(self.ns)[self.name]
entity = nameSpaceByName('Concept')[self.name]
triples = []
for c in self.jsonDescription['isA']:
triples.append((clss, rdfs['subClassOf'],
nameSpaceByName('Ontology')[c['n']]))
triples.append((entity, rdf['type'], clss))
triples.append((clss, ontology['classifies'], entity))
#for property in self.jsonDescription:
#Ignored as specific to the concept
# if property not in ['isA']:
# if property in ['memberOf', 'mentions']:
# for object in self.jsonDescription[property]:
# if isinstance(object, dict):
# if not object['p']: object['p'] = 'Concept'
# #print 'object: {}'.format(object)
# object = nameSpaceByName(object['p'])[object['n']]
# elif isinstance(object, basestring):
# object = URIRef(object)
# triples.append( (entity, Property.Properties['memberOf'].toPredicate(), object))
triples += WikiResource(self.jsonDescription).toRDF()
return triples
def toRDF(self):
clss = nameSpaceByName(self.ns)[self.name]
entity = nameSpaceByName('Concept')[self.name]
triples = []
for c in self.jsonDescription['isA']:
triples.append( (clss, rdfs['subClassOf'], nameSpaceByName('Ontology')[c['n']]) )
triples.append( (entity, rdf['type'], clss) )
triples.append( (clss, ontology['classifies'], entity) )
#for property in self.jsonDescription:
#Ignored as specific to the concept
# if property not in ['isA']:
# if property in ['memberOf', 'mentions']:
# for object in self.jsonDescription[property]:
# if isinstance(object, dict):
# if not object['p']: object['p'] = 'Concept'
# #print 'object: {}'.format(object)
# object = nameSpaceByName(object['p'])[object['n']]
# elif isinstance(object, basestring):
# object = URIRef(object)
# triples.append( (entity, Property.Properties['memberOf'].toPredicate(), object))
triples += WikiResource(self.jsonDescription).toRDF()
return triples
def toRDF(self):
entity = nameSpaceByName(self.ns)[self.name]
model = ConceptModel.Models[self.ns]
triples = []
allowedProperties = set(model.Properties())
for property in self.jsonDescription:
if property in allowedProperties:
for object in self.jsonDescription[property]:
try:
if isinstance(object, dict):
if not object['p']:
# Its a special case if the relation is a instance relation
if property == 'instanceOf': object['p'] = 'Ontology'
else: object['p'] = 'Concept'
triples.append( (entity, Property.Properties[property].toPredicate(self.ns, object['p']),
nameSpaceByName(object['p'])[object['n']]) )
elif isinstance(object, basestring):
object = URIRef(object)
triples.append( (entity, Property.Properties[property].toPredicate(None, None), object) )
except: pass
else:
if property not in ['headline', 'p', 'n', 'internal_links', 'subresources', 'isA']:
reportError(self.jsonDescription, 'Undefined property: {}'.format(property))
return triples
def toRDF(self):
entity = nameSpaceByName(self.ns)[self.name]
model = ConceptModel.Models[self.ns]
triples = []
allowedProperties = set(model.Properties())
for property in self.jsonDescription:
if property in allowedProperties:
for object in self.jsonDescription[property]:
try:
if isinstance(object, dict):
if not object['p']:
# Its a special case if the relation is a instance relation
if property == 'instanceOf':
object['p'] = 'Ontology'
else:
object['p'] = 'Concept'
triples.append(
(entity,
Property.Properties[property].toPredicate(
self.ns, object['p']),
nameSpaceByName(object['p'])[object['n']]))
elif isinstance(object, basestring):
object = URIRef(object)
triples.append(
(entity,
Property.Properties[property].toPredicate(
None, None), object))
except:
pass
else:
if property not in [
'headline', 'p', 'n', 'internal_links', 'subresources',
'isA'
]:
reportError(self.jsonDescription,
'Undefined property: {}'.format(property))
return triples
def toPredicate(self, domain, range):
return nameSpaceByName(self.ns)[self.afterMappingName]
def toPredicate(self, domain, range):
return nameSpaceByName(self.ns)[self.afterMappingName]
