面向医学领域的概念语义本体相似度度量理论与方法研究  

Measurement Theory and Method of Concept Semantic Noumenon Similarity of Medical Domain

作　　者：王凯[1] 

机构地区：[1]蚌埠医学院信息技术教研室,安徽蚌埠233030

出　　处：《江汉大学学报（自然科学版）》2014年第2期37-40,共4页Journal of Jianghan University：Natural Science Edition

基　　金：蚌埠医学院科研项目(ByKy1304)

摘　　要：领域本体概念相似度已被广泛应用于医学诊断知识库,为克服概念交互过程中所存在的概念度量准确率较低以及领域概念相似度语义融合不充分等问题,提出面向医学领域的概念语义本体相似度度量理论与方法。立足于领域本体结构特征,首先分解了概念层次结构所包含的语义信息,提出基于属性的计算模型,然后在结构层次中求出概念间的最小不可约集合,通过对集合中的语义模型引入调节因子,提高领域概念的融合效率。算法分析以及实例证明该方法能有效提高本体概念融合的准确性。Domain noumenon concept similarity had been widely used in medical diagnosis data-base,for overcoming the problems of low accuarcy in concept measurement and inadequte semanticfusion in domain concept similarity during the process of concepts interaction,proposes measure-ment theory and method of concept semantic noumenon similarity of medical domain. Be establishedin structure feature of domain noumenon,at first decomposes the semantic information contained inconcept hiberarchy,and proposes computation model based on attribute,then determine thenon-symmetric irreducible set in concepts in hiberarchy,through introducing the regulatory factortowards semantic model in sets,improves the fusion efficiency of domain concepts. Algorithm analy-sis and examples prove that the method effectively improve the accuracy of noumenon concept fusion.

关 键 词：概念格 广度 非对偶 语义相似度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]