一种优化的基于领域本体语义距离的概念相似度计算模型研究  

A Calculation Model for Research on Concept Similarity Computing Based on Domain Ontology

作　　者：刘锋[1] 郭维威 

机构地区：[1]黑龙江工业学院电气与信息工程系,黑龙江省鸡西市158100

出　　处：《曲阜师范大学学报（自然科学版）》2015年第4期55-59,共5页Journal of Qufu Normal University(Natural Science)

基　　金：黑龙江省教育厅科学技术研究项目(2543050)

摘　　要：针对概念相似度计算方法存在的不完整性和片面性的问题,通过对现有概念相似度几种计算方法分析与研究,提出一种优化的基于领域本体语义距离的概念相似度计算模型.该模型综合考虑了概念之间的关系、有向边节点密度、层次深度、方向因子等因素对概念相似度计算的影响,通过分析,优化后的模型有效地提高了概念相似度计算的准确性.Aiming at the problem of the one-sided and incomplete nature for the current concept similarity computation,through analyzing and studying the methods of concept similarity computation,an improved domain ontology-based semantic distance concept similarity computation model is proposed.The factors of influencing semantic similarity computation are synthetically considered,such as relationship of the concepts,the edge node density,level depth,direction factor,results show that the accuracy of concept similarity computation is obviously enhanced.

关 键 词：领域本体 概念相似度 语义距离 信息增益 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]