计算机应用 ›› 2016, Vol. 36 ›› Issue (6): 1599-1604.DOI: 10.11772/j.issn.1001-9081.2016.06.1599

• 人工智能 • 上一篇    下一篇

基于网络本体语言的三维计算机辅助设计主模型相似性计算方法

钟艳如1, 梁毅芳1, 许本胜2, 曾聪文1, 卢宏成1, 吴帆1, 赵争君1   

  1. 1. 广西高校图像图形智能处理重点实验室(桂林电子科技大学), 广西 桂林 541004;
    2. 桂林航天工业学院 机械工程学院, 广西 桂林 541004
  • 收稿日期:2015-11-30 修回日期:2016-01-11 出版日期:2016-06-10 发布日期:2016-06-08
  • 通讯作者: 梁毅芳
  • 作者简介:钟艳如(1965-),女,江西宜春人,教授,硕士,主要研究方向:描述逻辑、变型设计、语义互操作性;梁毅芳(1990-),男,广东清远人,硕士研究生,主要研究方向:语义相似性、变型设计;许本胜(1980-),男,湖北黄石人,副教授,硕士,主要研究方向:计算机辅助设计、计算机辅助制造、数字化设计;曾聪文(1972-),男,江西鹰潭人,副教授,博士,主要研究方向:图形图像、智能计算;卢宏成(1991-),男,江西赣州人,硕士研究生,主要研究方向:公差综合优化;吴帆(1990-),男,广西灌阳人,硕士研究生,主要研究方向:产品数据管理;赵争君(1991-),男,湖南邵阳人,硕士研究生,主要研究方向:计算机辅助设计、变型设计。
  • 基金资助:
    国家自然科学基金资助项目(61562016);广西自然科学基金资助项目(2014GXNSFDA118039);桂林电子科技大学博士科研启动项目(UF14019Y);广西研究生教育创新计划资助项目(YCSZ2015148);桂林电子科技大学研究生教育创新计划资助项目(YJCXS201540)。

Similarity measure method for 3D CAD master model based on Web ontology language

ZHONG Yanru1, LIANG Yifang1, XU Bensheng2, ZENG Congwen1, LU Hongcheng1, WU Fan1, ZHAO Zhengjun1   

  1. 1. Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Image and Graphics(Guilin University of Electronic Technology), Guilin Guangxi 541004, China;
    2. School of Mechanical Engineering, Guilin University of Aerospace Technology, Guilin Guangxi, 541004, China
  • Received:2015-11-30 Revised:2016-01-11 Online:2016-06-10 Published:2016-06-08
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (61562016), the Natural Science Foundation of Guangxi (2014GXNSFDA118039), the Doctoral Research Start-up Funds of Guilin University of Electronic Technology (UF14019Y), the Innovation Project of Guangxi Graduate Education (YCSZ2015148), and the Innovation Project of GUET Graduate Education (YJCXS201540).

摘要: 为了提高三维计算机辅助设计(CAD)模型重用效率,针对当前三维模型检索系统中语义表达不足问题,提出了一种基于网络本体语言(OWL)表示模型语义的相似性计算方法。首先,将三维CAD产品主模型转化成以概念属性特征为基础语义对象的结构化表示模型;然后,从OWL表示模型中提取用于评价两个模型相似性的特征语义信息,构建可量化的相似元集,借助子图同构思想和Tversky算法给出了一种加权相似性计算方法;最后,通过实例验证了所提方法的有效性和可行性。实验的定量评价结果表明,该评价基准从对象本身转为两个对象特性的语义描述,能够客观反映两对比模型的相似程度。

关键词: 网络本体语言语义, 相似性计算, 产品主模型, 模型重用, 结构化

Abstract: To promote the model reuse efficiency of 3D Computer Aided Design (CAD), aiming at the flaw of semantic expression in previous 3D model retrieval systems, a similarity measure method based on model semantic representation of Web Ontology Language (OWL) was presented. Firstly, 3D CAD master model was transformed into structuralized representation model with class-property feature as its basic semantic object. And then, the feature semantic information for matching two models was extracted from OWL representation model to be a quantitative similarity unit. And a method of total weight combining subgraph isomorphism and Tversky algorithm was proposed for similarity measure. Finally, the experiment verified the feasibility and effectiveness of the proposed method. The comprehensive quantitative assessments of the experiment show that the proposed method makes the evaluation benchmark switch from the object itself to the set of semantic description of two object properties, and can objectively reflect the similar degree of the two contrast models.

Key words: Web Ontology Language (OWL) semantics, similarity measure, product master model, model reuse, structuralization

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