领域本体概念相似度计算改进模型研究及应用

G. Xiaorong, Xu Yingzhuo
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引用次数: 0

摘要

随着本体在信息集成中的广泛应用,基于本体的概念相似度计算变得越来越重要。针对常用领域本体概念相似度计算方法的不足,提出并构建了一种改进的基于树型结构的本体概念相似度计算模型。首先,将XML文档转换为树状结构,通过添加和重组虚拟节点进行重构;在传统语义距离概念相似度计算模型的基础上,考虑不同概念在本体树中所占比例的不同,引入权值并给出了权值计算方法,从而对相似度计算模型进行了改进。最后,通过构建钻井作业本体树进行相似度计算实验。实验表明,该模型利用了本体概念的语义信息,有效地提高了概念相似度计算的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Improved Model for Concept Similarity Computation in Domain Ontology and Application
With the extensive applications of ontology in information integration, the conceptual similarity calculation based on ontology has become more and more important. Aiming at the shortcomings of the commonly used domain ontology concept similarity calculation method, an improved ontology concept similarity calculation model based on tree structure is proposed and constructed. Firstly, the XML document is transformed into a tree structure, and reconstructed by adding and recombining virtual nods; on the basis of traditional conceptual similarity calculation model of semantic distance, and considering the different proportion of different concepts in the ontology tree, the weight value is introduced and the weight calculation method is given, thus the similarity calculation model is improved. Finally, the similarity calculation experiment is carried out by constructing the drilling operation ontology tree. Experiments show that the proposed model utilizes the semantic information of the ontology concept and improves the accuracy of the concept similarity calculation effectively.
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