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周建慧, 刘继红, 杨海成. 面向复杂产品工程知识管理的动态本体[J]. 计算机辅助设计与图形学学报, 2016, 28(11): 1957-1964.
引用本文: 周建慧, 刘继红, 杨海成. 面向复杂产品工程知识管理的动态本体[J]. 计算机辅助设计与图形学学报, 2016, 28(11): 1957-1964.
Zhou Jianhui, Liu Jihong, Yang Haicheng. Dynamic Ontology for Engineering Knowledge Management of Complex Product Research & Development[J]. Journal of Computer-Aided Design & Computer Graphics, 2016, 28(11): 1957-1964.
Citation: Zhou Jianhui, Liu Jihong, Yang Haicheng. Dynamic Ontology for Engineering Knowledge Management of Complex Product Research & Development[J]. Journal of Computer-Aided Design & Computer Graphics, 2016, 28(11): 1957-1964.

面向复杂产品工程知识管理的动态本体

Dynamic Ontology for Engineering Knowledge Management of Complex Product Research & Development

  • 摘要: 针对复杂产品研制工程知识管理中本体应用存在的问题,提出一种基于领域本体和产品研制任务的新型本体,即动态本体.首先分析了超大本体和顶层本体在大规模工程知识管理应用中的缺点从而针对性地提出动态本体;并给出了动态本体构建的基本方法,包括相关领域本体确定、领域本体子集界定、领域本体子集映射集成等步骤.针对动态本体与任务需求的相关程度,提出了一种动态本体评价方法.最后以火箭发动机为例,从结构、热力学、工艺和气动4个领域介绍动态本体的建模,并给出了评价结果:动态本体比超大本体和顶层本体在复杂产品研制工程领域中更能适应用户需求.

     

    Abstract: Aiming at the problems of ontology application in engineering knowledge management for complex product development, a new ontology based on domain ontology and product development task, named dynamic ontology, is proposed. The paper firstly analyzes the shortages of the existing large ontology and top ontology in large-scale engineering knowledge management application, and then defines the dynamic ontology. Secondly, the preliminary method of dynamic ontology construction is described, which consists of determination of the relevant domain ontologies and their subsets, and the merging of the subsets of relevant domain ontologies. A method to evaluate the relevancy between the dynamic ontology and domain task requirements is also proposed. Rocket engine is taken as an example of complex products to elaborate the procedures of dynamic ontology construction. Four domain ontologies are taken into consideration, which are related to structure, thermodynamics, process and aerodynamics disciplines. The results of evaluation demonstrate that the dynamic ontology is more appropriate for complex product development engineering than large ontology and top ontology.

     

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