论文标题
一个简单有效的框架，用于识别本体中的关系差距
A Simple and Efficient Framework for Identifying Relation-gaps in Ontologies
论文作者
论文摘要
尽管许多本体学都有大量的类，但是在大多数情况下，人们找不到连接类的对象属性。添加对象属性使本体论更丰富，更适用于诸如问答之类的任务。在这种情况下，应考虑发现对象属性的两个类的问题非常重要。我们在本文中解决了上述问题。我们提出了一个简单的机器学习框架，该框架表现出较低的时间复杂性，但就精确度和检索的类对数提供了令人鼓舞的结果。
Though many ontologies have huge number of classes, one cannot find a good number of object properties connecting the classes in most of the cases. Adding object properties makes an ontology richer and more applicable for tasks such as Question Answering. In this context, the question of which two classes should be considered for discovering object properties becomes very important. We address the above question in this paper. We propose a simple machine learning framework which exhibits low time complexity and yet gives promising results with respect to both precision as well as number of class-pairs retrieved.
