def __init__(self, query=None):
self.query = Query(query)
# instance of searchet-ontology-api
self.searchet_ontology = SearchetOntology(source='searchet_v2.n3', format='n3')
def __init__(self, query=None):
self.query = Query(query)
# instance of searchet-ontology-api
self.searchet_ontology = SearchetOntology(source='searchet_v2.n3',
format='n3')
class QueryTagger:
''' docs '''
# TODO
# 1. download freebase
# 2. segment query
# 3. find multiple entities from local freebase
def __init__(self, query=None):
self.query = Query(query)
# instance of searchet-ontology-api
self.searchet_ontology = SearchetOntology(source='searchet_v2.n3', format='n3')
def get_types(self):
'''docs'''
ta = TagAlchemyAPI(self.query.query)
# baidu ner should be trusted as the major source
#tb = TagBaidu(self.query)
# definitely problems arises if querying freebase this way
#
tf = TagFreebase(self.query.query)
ta.start()
#tb.start()
tf.start()
# wait until all three finish, or two seconds
ta.join(2*1000)
#tb.join(2*2000)
tf.join(2*2000)
return ta.result, tf.result
#return ta.result, tb.result, tf.result
def pattern_generator(self, query):
'''simple strategy, subject to further changes'''
pass
def analyze_alchemyapi(self, entities):
'''find out 1.the ancestor 2.the corresponding text 3.update query'''
# the alchemyapi Query instance
query = Query(self.query.query)
query.feature_words = query.query
query.pattern = query.query
for e in entities:
ancestor = self.searchet_ontology.get_pedigree('http://www.alchemyapi.com/api/entity/types.html#', e.entity_type)
text = e.entity_text
query.token_entities[text] = ancestor
query.entity_tokens[ancestor] = text
query.pattern = query.pattern.replace(text, str(ancestor))
query.feature_words = query.feature_words.replace(text, "")
# feature words
query.feature_words = [t.strip().lower().capitalize() for t in query.feature_words.split() if t]
query.pattern = [p.strip() for p in query.pattern.split() if p]
return query
def analyze_baidu(self):
'''docs'''
pass
def analyze_freebase(self, entity):
'''docs'''
# the freebase Query instance
query = Query(self.query.query)
query.feature_words = query.query
query.pattern = query.query
ancestors = []
for t in entity.entity_type:
ancestor = self.searchet_ontology.get_pedigree('http://schemas.freebaseapps.com/type?id=', t)
ancestors.append(ancestor)
# dedup
ancestors = list(set(ancestors))
#special treatment for entity text
text = ''
for t in entity.entity_text:
if t in query.query.lower():
low = query.query.lower().find(t)
high = len(t) + 1
text = query.query[low:high]
break
if text:
query.token_entities[text] = ancestors
for ancestor in ancestors:
query.entity_tokens[ancestor] = text
query.feature_words = query.feature_words.replace(text, "")
query.feature_words = [t.lower().strip().capitalize() for t in query.feature_words.split() if t]
if any(ancestors):
query.pattern = query.pattern.replace(text, '|'.join(ancestors))
query.pattern = [p.strip() for p in query.pattern if p]
return query
#def analyze(alchemyapi_entities, baidu_entities, freebase_entity):
def analyze(self, alchemyapi_entities, freebase_entity):
'''each service tags by itself'''
alchemyapi_tagged_query = self.analyze_alchemyapi(alchemyapi_entities)
#baidu_tagged_query = analyze_baidu(baidu_entities)
freebase_tagged_query = self.analyze_freebase(freebase_entity)
# currently simple stratege:
# if different, baidu > alchemyapi > freebase
if alchemyapi_tagged_query.pattern != freebase_tagged_query.pattern:
return alchemyapi_tagged_query
else:
return freebase_tagged_query
def tag(self):
''' docs '''
alchemyapi_entities, freebase_entity = self.get_types()
#alchemyapi_entities, baidu_entities, freebase_entity = self.get_types()
return self.analyze(alchemyapi_entities, freebase_entity)
class QueryTagger:
''' docs '''
# TODO
# 1. download freebase
# 2. segment query
# 3. find multiple entities from local freebase
def __init__(self, query=None):
self.query = Query(query)
# instance of searchet-ontology-api
self.searchet_ontology = SearchetOntology(source='searchet_v2.n3',
format='n3')
def get_types(self):
'''docs'''
ta = TagAlchemyAPI(self.query.query)
# baidu ner should be trusted as the major source
#tb = TagBaidu(self.query)
# definitely problems arises if querying freebase this way
#
tf = TagFreebase(self.query.query)
ta.start()
#tb.start()
tf.start()
# wait until all three finish, or two seconds
ta.join(2 * 1000)
#tb.join(2*2000)
tf.join(2 * 2000)
return ta.result, tf.result
#return ta.result, tb.result, tf.result
def pattern_generator(self, query):
'''simple strategy, subject to further changes'''
pass
def analyze_alchemyapi(self, entities):
'''find out 1.the ancestor 2.the corresponding text 3.update query'''
# the alchemyapi Query instance
query = Query(self.query.query)
query.feature_words = query.query
query.pattern = query.query
for e in entities:
ancestor = self.searchet_ontology.get_pedigree(
'http://www.alchemyapi.com/api/entity/types.html#',
e.entity_type)
text = e.entity_text
query.token_entities[text] = ancestor
query.entity_tokens[ancestor] = text
query.pattern = query.pattern.replace(text, str(ancestor))
query.feature_words = query.feature_words.replace(text, "")
# feature words
query.feature_words = [
t.strip().lower().capitalize()
for t in query.feature_words.split() if t
]
query.pattern = [p.strip() for p in query.pattern.split() if p]
return query
def analyze_baidu(self):
'''docs'''
pass
def analyze_freebase(self, entity):
'''docs'''
# the freebase Query instance
query = Query(self.query.query)
query.feature_words = query.query
query.pattern = query.query
ancestors = []
for t in entity.entity_type:
ancestor = self.searchet_ontology.get_pedigree(
'http://schemas.freebaseapps.com/type?id=', t)
ancestors.append(ancestor)
# dedup
ancestors = list(set(ancestors))
#special treatment for entity text
text = ''
for t in entity.entity_text:
if t in query.query.lower():
low = query.query.lower().find(t)
high = len(t) + 1
text = query.query[low:high]
break
if text:
query.token_entities[text] = ancestors
for ancestor in ancestors:
query.entity_tokens[ancestor] = text
query.feature_words = query.feature_words.replace(text, "")
query.feature_words = [
t.lower().strip().capitalize()
for t in query.feature_words.split() if t
]
if any(ancestors):
query.pattern = query.pattern.replace(text, '|'.join(ancestors))
query.pattern = [p.strip() for p in query.pattern if p]
return query
#def analyze(alchemyapi_entities, baidu_entities, freebase_entity):
def analyze(self, alchemyapi_entities, freebase_entity):
'''each service tags by itself'''
alchemyapi_tagged_query = self.analyze_alchemyapi(alchemyapi_entities)
#baidu_tagged_query = analyze_baidu(baidu_entities)
freebase_tagged_query = self.analyze_freebase(freebase_entity)
# currently simple stratege:
# if different, baidu > alchemyapi > freebase
if alchemyapi_tagged_query.pattern != freebase_tagged_query.pattern:
return alchemyapi_tagged_query
else:
return freebase_tagged_query
def tag(self):
''' docs '''
alchemyapi_entities, freebase_entity = self.get_types()
#alchemyapi_entities, baidu_entities, freebase_entity = self.get_types()
return self.analyze(alchemyapi_entities, freebase_entity)
