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.

中文翻译：

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一个简单有效的框架，用于识别本体中的关系差距

尽管许多本体具有大量的类，但在大多数情况下，人们无法找到大量连接类的对象属性。添加对象属性使本体更丰富，更适用于问答等任务。在这种情况下，应该考虑哪两个类来发现对象属性的问题变得非常重要。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，它表现出低时间复杂度，但在精度和检索到的类对数量方面都给出了有希望的结果。