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| Part ontology mapping in cooperative enterprises |
| ZHANG Tai-hua1,2, GU Xin-jian1, LIU Hai-qiang1, HU Hao1, WANG Zheng-xiao1 |
(1.Institution of Contemporary Manufacturing Engineering, Zhejiang University, Hangzhou 310027, China;
2.College of Mechanical and Electrical Engineering, Guizhou Normal University, Guiyang 550014, China) |
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Abstract 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.
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Published: 16 January 2010
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企业协同中的零件本体映射
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.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.
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