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一种改进的基于领域本体树状结构的概念相似度算法

发表时间:2017-05-31  浏览量:1300  下载量:278
全部作者: 甄亚亚,钟忺
作者单位: 武汉理工大学计算机科学与技术学院
摘 要: 随着本体在多个领域的广泛应用,基于领域本体的语义相似度计算成为研究热点。研究对节点密度影响因子计算中大于1的情况进行改进,并在语义重合度基础上增加了每个祖先节点的权值,综合考虑语义距离、节点深度、节点密度和语义重合度,提出一种改进的领域本体概念语义相似度计算算法,并通过实验对比与分析验证了改进后算法的单个影响因子值和综合的语义相似度值,具有较高的准确度。
关 键 词: 软件工程;领域本体;语义相似度;节点密度;语义重合度
Title: An improved algorithm for conceptual semantic similarity based on tree structure of domain ontology
Author: ZHEN Yaya, ZHONG Xian
Organization: School of Computer Science and Technology, Wuhan University of Technology
Abstract: With the extensive application of ontology in many fields, the semantic similarity computation based on domain ontology has been a hot research topic. In this paper, the conditions are improved when the computing results of node density are greater than 1, and the weight of each ancestor node is added on the basis of semantic coincidence degree. Considering the semantic distance, node depth, node density and semantic coincidence degree, an improved computational algorithm for conceptual semantic similarity in domain ontology is proposed. By comparing and analyzing the results of the experiment, it shows that the improved algorithm has higher accuracy for the value of single factor and the comprehensive value of semantic similarity degree.
Key words: software engineering; domain ontology; semantic similarity degree; node density; semantic coincidence degree
发表期数: 2017年5月第10期
引用格式: 甄亚亚,钟忺. 一种改进的基于领域本体树状结构的概念相似度算法[J]. 中国科技论文在线精品论文,2017,10(10):1084-1093.
 
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