企业协同中的零件本体映射  

Part ontology mapping in cooperative enterprises

作　　者：张太华[1,2] 顾新建[1] 刘海强[1] 胡浩[1] 王正肖[1] 

机构地区：[1]浙江大学现代制造工程研究所,浙江杭州310027 [2]贵州师范大学机械与电气工程学院,贵州贵阳550014

出　　处：《浙江大学学报（工学版）》2009年第12期2287-2292,共6页Journal of Zhejiang University：Engineering Science

基　　金：国家自然科学基金资助项目(70501026);国家"863"高技术研究发展计划资助项目(2006AA04Z157);国家科技支撑计划资助项目(2006BAF01A02)

摘　　要：为了解决零件库中的本体异构问题,建立了零件本体映射过程的基本模型,提出了一种结构-语义-特性本体映射算法,该映射算法由结构相似性算法、语义相似性算法和零件事物特性相似性算法组合而成,其中结构相似性算法用于解决本体结构层次异构问题,语义相似度算法用于解决本体中概念、属性和实例的不一致问题,事物特性相似性算法用于解决本体中零件中各种知识的表达的不一致问题;以查全率和查准率为关键指标,通过实例对比分析说明该映射算法的有效性.The basic model of part ontology mapping process was established in order to resolve ontology heterogeneity problems in part base. A structure-semantic-characteristics （SSC） ontology mapping algorithm was presented. The algorithm combined a structure similarity algorithm, a semantic similarity algorithm and a part characteristics similarity algorithm. The structure similarity algorithm was used to solve the heterogeneous problems of ontology structure. The semantic similarity algorithm was used to solve the inconsistency problems of concepts, properties and instances in ontologies. The part characteristics similarity algorithm was used to solve the inconsistencies of knowledge expression in part. Using recall and precision ratios for key index, an example was comparatively analyzed to show the SSC is validity.

关 键 词：本体异构 本体映射 过程模型 结构-语义-特性映射算法 查全率 查准率 

分 类 号：TP14[自动化与计算机技术—控制理论与控制工程]