python中面向本体的编程包：将owl 2.0本体作为python对象加载、修改、保存并通过hermit执行推理。包括一个优化的RDFquadstore。
Owlready2的Python项目详细描述
我可以用猫头鹰2做什么？
从本地存储库或Internet加载本体：
>>> from owlready2 import *
>>> onto_path.append("/path/to/your/local/ontology/repository")
>>> onto = get_ontology("http://www.lesfleursdunormal.fr/static/_downloads/pizza_onto.owl")
>>> onto.load()
在本体中创建新类，可能混合了owl构造和python方法：
< DL>>>> with onto:
... class NonVegetarianPizza(onto.Pizza):
... equivalent_to = [
... onto.Pizza
... & ( onto.has_topping.some(onto.MeatTopping)
... | onto.has_topping.some(onto.FishTopping)
... ) ]
... def eat(self): print("Beurk! I'm vegetarian!")
访问本体类，并创建新实例/个体：
>>> onto.Pizza
pizza_onto.Pizza
>>> test_pizza = onto.Pizza("test_pizza_owl_identifier")
>>> test_pizza.has_topping = [ onto.CheeseTopping(),
... onto.TomatoTopping(),
... onto.MeatTopping () ]
导出到RDF/XML文件：
>>> test_onto.save()
进行推理，并对实例和类进行分类：
>>> test_pizza.__class__ onto.Pizza >>> # Execute HermiT and reparent instances and classes >>> sync_reasoner() >>> test_pizza.__class__ onto.NonVegetarianPizza >>> test_pizza.eat() Beurk! I'm vegetarian !
从umls获取医学术语：
>>> from owlready2 import *
>>> from owlready2.pymedtermino2.umls import *
>>> default_world.set_backend(filename = "pym.sqlite3")
>>> import_umls("umls-2018AB-full.zip", terminologies = ["ICD10", "SNOMEDCT_US", "CUI"])
>>> default_world.save()
>>> PYM = get_ontology("http://PYM/").load()
>>> ICD10 = PYM["ICD10"]
>>> SNOMEDCT_US = PYM["SNOMEDCT_US"]
>>> SNOMEDCT_US[186675001]
SNOMEDCT_US["186675001"] # Viral pharyngoconjunctivitis
>>> SNOMEDCT_US[186675001] >> ICD10 # Map to ICD10
Concepts([
ICD10["B30.9"] # Viral conjunctivitis, unspecified
])
有关更多文档，请查看源中的文档/目录。
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