如何使用RDFlib创建具有属性的类

2024-06-16 13:26:39 发布

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我正在尝试使用pythonrdflib开发一个本体。我对python和RDFlib还不熟悉,有谁能提供一个简单的例子来说明我如何创建一个类,向那个类添加属性,创建那个类的对象/个体。我使用jenaapi在java中开发了相同的应用程序,我可以使用jenaapi为类创建数据类型属性和对象类型属性。我们能用RDFLib做同样的事情吗?提前谢谢


Tags: 对象应用程序类型属性本体java事情rdflib
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1楼 · 发布于 2024-06-16 13:26:39

您好,感谢您的支持,我已经通过anaconda安装了owlready 2,使用命令conda install-c conda forge owlready2 [https://anaconda.org/conda-forge/owlready2][1]

我可以使用OWLReady2轻松地创建类和个体

 from owlready2 import *
onto = get_ontology("http://elearning.org/onto.owl")

"""Functions to create Ontology class"""
with onto:
 class Student(Thing):
       pass
 class LearningMaterial(Thing):
      pass
 class readBook(ObjectProperty):
  domain = [Student]
  range  = [LearningMaterial]
 class Age(DataProperty):
  domain = [Student]
  range=[str]
 class Gender(DataProperty):
  domain = [Student]
  range=[str]
 class Qualification(DataProperty):
  domain = [Student]
  range=[str] 
 class Branch(DataProperty):
  domain = [Student]
  range=[str]
 class Background_Knowledge(DataProperty):
  domain = [Student]
  range=[str]
 class Active_Reflective(DataProperty):
  domain = [Student]
  range=[str] 
 class AR_Value(DataProperty):
  domain = [Student]
  range=[int] 
 class Sensitive_Intutive(DataProperty):
  domain = [Student]
  range=[str]
 class S_I_Value(DataProperty):
  domain = [Student]
  range=[int]
 class Visual_Verbal(DataProperty):
  domain = [Student]
  range=[str]
 class S_I_Value(DataProperty):
  domain = [Student]
  range=[int]
  class S_I_Value(DataProperty):
  domain = [Student]
  range=[int]
  class S_I_Value(DataProperty):
  domain = [Student]
  range=[int]
 def createStudentIndividual(stud):
  """This method will create Student Object"""
  studobj=Student(stud[0], namespace = onto, Age = [stud[1]],
  Gender=[stud[2]],Qualification=[stud[3]],Branch=[stud[4]],
  Background_Knowledge=[stud[5]],Active_Reflective=[stud[6]]
  ,AR_Value=[stud[7]],Sensitive_Intutive=[stud[8]],S_I_Value=[stud[9]])

#save ontology to a File
def saveOntology():
 onto.save(file = "learnsystem.owl", format = "rdfxml")

createStudentIndividual(["Ratheesh",'19','1','2','3','3','3',3,'3',3,3]) 

saveOntology()

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