class GerbilNIFCollection:
def __init__(self, context: str, mention: str):
self.collection = NIFCollection()
self.context = context
self.mention = mention
self.phrases = self.collection.add_context(self.context, self.mention)
@property
def turtle(self) -> str:
return self.collection.dumps(format='turtle')
def annotation2nif(collection_name, tweet):
collection = NIFCollection(uri=collection_name)
context_name = collection_name + str(tweet.idTweet)
context = collection.add_context(uri=context_name, mention=tweet.text)
if len(tweet.mentions) > 0:
for i, mention in enumerate(tweet.mentions):
if tweet.entities[i] != 'NIL':
entity = tweet.entities[i].replace(
'dbr:', 'http://dbpedia.org/resource/')
else:
entity = 'http://optic.ufsc.br/resource/NIL/'
context.add_phrase(beginIndex=int(mention[2]),
endIndex=int(mention[3]),
annotator='http://optic.ufsc.br',
taIdentRef=entity)
nif = collection.dumps(format='turtle')
return nif
from pynif import NIFCollection
import sys,os,json,re
d = json.loads(open('input/webqsp.test.entities.with_classes.json').read())
collection = NIFCollection(uri="http://sda.tech/webquestions")
for item in d:
if not item['utterance']:
continue
uid = item['question_id']
context = collection.add_context(uri="http://sda.tech/webquestions/%s"%uid,
mention=item['utterance'])
beg = 0
for entity in item['entities']:
if entity is None:
continue
context.add_phrase(taIdentRef='http://www.wikidata.org/entity/'+entity, beginIndex=beg, endIndex=beg+1)
beg+=1
generated_nif = collection.dumps(format='turtle')
f = open('webqsp.test.nif','w')
f.write(generated_nif)
f.close()