首先,有word
和WordNet中synset
/concept
之間的差。
在這裏我們看到,一個字可以有多種含義(即鏈接到多個概念):
>>> from nltk.corpus import wordnet as wn
>>> car = 'car'
>>> auto = 'automobile'
>>> wn.synsets(auto)
[Synset('car.n.01'), Synset('automobile.v.01')]
>>> wn.synsets(car)
[Synset('car.n.01'), Synset('car.n.02'), Synset('car.n.03'), Synset('car.n.04'), Synset('cable_car.n.01')]
而且在這種情況下,「汽車」和「車」可以指同一Synset('car.n.01')
如果是的話,那麼他們沒有hypo/hypernym關係。
還有一個lemma
這個概念會讓事情變得複雜,所以我們暫時略過。假設你不是比較單詞,而是同義詞,那麼你可以簡單地找到同義詞的所有下位詞,看看其他同義詞是否出現在它內部。
如果你比較通俗的語言,看到How to get all the hyponyms of a word/synset in python nltk and wordnet?
下面將展示如何比較同義詞集。例如緣故,因爲只有對「汽車」和「汽車」
>>> from nltk.corpus import wordnet as wn
>>>
>>> fruit = 'fruit'
>>> wn.synsets(fruit)
[Synset('fruit.n.01'), Synset('yield.n.03'), Synset('fruit.n.03'), Synset('fruit.v.01'), Synset('fruit.v.02')]
>>> wn.synsets(fruit)[0].definition()
u'the ripened reproductive body of a seed plant'
>>> fruit = wn.synsets(fruit)[0]
>>>
>>> apple = 'apple'
>>> wn.synsets(apple)
[Synset('apple.n.01'), Synset('apple.n.02')]
>>> wn.synsets(apple)[0].definition()
u'fruit with red or yellow or green skin and sweet to tart crisp whitish flesh'
>>> apple = wn.synsets(apple)[0]
>>>
下面一個名詞同義詞集我會用「果」和「蘋果」,這是不是「汽車」和「車」更符合邏輯我們看到,蘋果是不是在水果的直接上下義詞:
>>> fruit.hyponyms()
[Synset('accessory_fruit.n.01'), Synset('achene.n.01'), Synset('acorn.n.01'), Synset('aggregate_fruit.n.01'), Synset('berry.n.02'), Synset('buckthorn_berry.n.01'), Synset('buffalo_nut.n.01'), Synset('chokecherry.n.01'), Synset('cubeb.n.01'), Synset('drupe.n.01'), Synset('ear.n.05'), Synset('edible_fruit.n.01'), Synset('fruitlet.n.01'), Synset('gourd.n.02'), Synset('hagberry.n.01'), Synset('hip.n.05'), Synset('juniper_berry.n.01'), Synset('marasca.n.01'), Synset('may_apple.n.01'), Synset('olive.n.01'), Synset('pod.n.02'), Synset('pome.n.01'), Synset('prairie_gourd.n.01'), Synset('pyxidium.n.01'), Synset('quandong.n.02'), Synset('rowanberry.n.01'), Synset('schizocarp.n.01'), Synset('seed.n.01'), Synset('wild_cherry.n.01')]
>>>
>>> apple in fruit.hyponyms()
False
因此,我們必須遍歷了所有的上下義詞,看看蘋果是否是其中之一:
>>> hypofruits = set([i for i in fruit.closure(lambda s:s.hyponyms())])
>>> apple in hypofruits
True
有你有它!爲了完整起見:
>>> hyperapple = set([i for i in apple.closure(lambda s:s.hypernyms())])
>>> fruit in hyperapple
True
>>> hypoapple = set([i for i in apple.closure(lambda s:s.hyponyms())])
>>> fruit in hypoapple
False
>>> hyperfruit = set([i for i in fruit.closure(lambda s:s.hypernyms())])
>>> apple in hyperfruit
False
您沒有提供任何RDF數據,或者鏈接到任何RDF數據,以及SPARQL是一個RDF查詢語言,所以我們不能真的建議任何SPARQL查詢任何東西。有沒有你感興趣的RDF數據? – 2014-10-06 21:50:44