基于概念相似度计算的本体映射算法的研究.pdf

基于概念相似度计算的本体映射算法的研究
摘 要
随着网络上的本体越来越多，由于本体的构造标准并不唯一，且由于创建者和建模
方法不同，要实现信息的共享就要对信息达成一致的理解，也就是说为了实现不同本体
间的知识重用和共享，需要在本体间建立映射。而建立映射的关键在于找到概念相同或
相近的实体对。概念相似度计算技术可以很好的衡量两个实体的相似程度，对建立映射
具有极大的帮助。
本文介绍了本体的相关概念以及本体集成和本体映射的相关知识。随后介绍了本体
的构建方法和本体描述语言。在介绍了本体映射关系的相关知识之后，在已有数据关系
映射方法的基础上结合本体映射的特点，形成了本体映射关系的描述方法；结合目前普
遍适用的映射规则和根据实际应用制定了最终的本体映射规则。通过分析映射规则在本
体映射过程中的作用，本文提出了一种改进的本体映射过程。
本文介绍了概念相似度的相关知识，并在此基础上提出了一种新的综合相似度计算
方法。该方法从概念名称、概念属性、概念结构和概念实例四个方面出发，综合考虑了
概念对相似度的计算。利用提出的映射规则及相似度计算,本文对现在通用的本体映射
过程进行了改进。最后综合本文的研究，阐述了原型系统的实现情况，包括应用的关键
技术和系统的设计。通过实验数据验证了本文提出的方法的可行性和有效性。

关键词：本体，本体映射，相似度算法
Research on Ontology Mapping Algorithm Based-on Similarity
ABSTRACT
In the fields of computer science, ontology is a formal specification of a shared
conceptualization. The main purpose of applying ontology is knowledge sharing and reusing.
There are many criterias for building ontology. With the increasing number of ontologies, and
as many criterias for building ontology exist, and as the creator and modeling method may be
different, we must come to an agreement in order to implement information sharing, and that
is to say, in order to achieve knowledge reuse and sharing among different ontologies, it is
necessary to establish mapping among ontologies. Furthermore, the key of establishing
mapping lies in finding entity pairs that are the same or similar in concept. Similarity
measurement technology can well weigh the degree of similarity between two entities, and
thus is of great benefit to establishing mapping.
The paper introduces the related concept of ontology, ontology integration and ontology
mapping, and then introduces ontology establishment methods and ontology description
languages. After introduces the related knowledge of mapping relations, a method based on
existed data mapping relations for mapping relations describing is propose