计算机集成制造系统 ›› 2016, Vol. 22 ›› Issue (第9期): 2063-2071.DOI: 10.13196/j.cims.2016.09.002

• 产品创新开发技术 • 上一篇    下一篇

基于本体的复杂产品设计知识表示和标注方法

方伟光,郭宇,廖文和,王发麟   

  1. 南京航空航天大学机电学院
  • 出版日期:2016-09-30 发布日期:2016-09-30
  • 基金资助:
    国家自然科学基金资助项目(51575274);国防基础科研资助项目。

Knowledge representation and annotation method based on ontology for complex products'design

  • Online:2016-09-30 Published:2016-09-30
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.51575274),and the National Defense Base Scientific Research Foundation,China.

摘要: 针对复杂产品设计领域多学科交叉、知识资源数量庞大导致的知识重用与共享困难等问题,提出以专业领域维度划分为依据的知识表示方式,以领域本体为语义模型,实现产品设计知识结构化、维度化的表示。设计了一套针对设计文档的自动语义标注框架,以领域本体为框架底层,提出多影响因子综合加权的概念语义相似度来提取概念间的语义关系,并引入语义增量提取文档中的关键词权重特征,完成对知识的语义标注。通过雷达设计知识管理系统中知识自动标注、录入验证了所提方法的有效性。

关键词: 产品设计知识管理, 领域本体, 知识表示, 语义标注, 雷达

Abstract: Aiming at the problems of knowledge organizing,retrieving and sharing led by multidisciplinary intersection of design fields and large amount of knowledge resources in complex products,a new method of knowledge representation based on dimension of disciplinary domains was proposed,which realized the structuralization,dimensionalization and standardization of knowledge representation in electronic products'design by taking the domain ontology as a semantic model.On this basis,a novel semantic annotation framework in regard to design documents was designed.As the base of the framework,the conceptual semantic similarity of multifactor comprehensive weighted algorithm was created with domain ontology,which could describe the semantic relationship between the concepts.The semantic increment was also introduced to calculate the semantic weight of keywords,thus the technical documents were classified into different disciplinary domains in a more accurate way consequently.The knowledge management system of radar's design was taken as an example to validate the efficiency and accuracy of the proposed method.

Key words: products design, knowledge management, domain ontology, knowledge representation, semantic annotation, radar

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