基于加权的冗余相似本体实例发现的研究

Research on Ontology Instances Found Redundancy Based on Entropy Weighted

在开放式的环境下一般由不同的组织和人员对一个领域的本体库的知识实例进行维护和添加,这就可能出现重复描述的实例的问题,会出现对同一对象的不同实例描述,甚至是相互矛盾的,从而出现多义性。这就要通过本体的匹配发现这些重复描述的实例,并把它们合并。但是合并前需要找出这些重复的实例,文中通过对实例属性及其值的加权并通过文中提供的算法来查找出这些冗余的实例。通过实验结果可以发现,此方法可以为解决这个问题提供一种很好的解决方法。

In the open environment,the instances of knowledge for a domain are maintained and added by different organizations and personnel,which may occur in case repeated description problem, there will be different instances of the same object, even contradictory. This will need to find these repeated instances through the ontology matching, and merge them. However, it is necessary to find these repeated instances before merging, the instance attributes and their values are weighted and through the provided algorithm to check out these re- dundant instances in this paper. The experimental results show that this method is a good solution.