计算机应用 ›› 2017, Vol. 37 ›› Issue (6): 1728-1734.DOI: 10.11772/j.issn.1001-9081.2017.06.1728

• 人工智能 • 上一篇    下一篇

闭环全生命周期管理系统中知识集成与语义标注

桑成, 程健, 史一明   

  1. 中国科学技术大学 自动化系, 合肥 230022
  • 收稿日期:2016-12-02 修回日期:2017-02-13 出版日期:2017-06-10 发布日期:2017-06-14
  • 通讯作者: 桑成
  • 作者简介:桑成(1992-),男,安徽明光人,硕士研究生,主要研究方向:闭环全生命周期管理、产品知识管理;程健(1964-),男,安徽桐城人,高级工程师,硕士,主要研究方向:分布式网络测控技术、智能传感器、嵌入式系统、闭环全生命周期管理;史一明(1993-),男,河南汝州人,硕士研究生,主要研究方向:闭环全生命周期管理、产品故障预测与维护。
  • 基金资助:
    国家自然科学基金资助项目(11575182)。

Knowledge integration and semantic annotation in closed-loop lifecycle management system

SANG Cheng, CHENG Jian, SHI Yiming   

  1. Department of Automation, University of Science and Technology of China, Hefei Anhui 230022, China
  • Received:2016-12-02 Revised:2017-02-13 Online:2017-06-10 Published:2017-06-14
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (11575182).

摘要: 为了解决闭环全生命周期管理系统中知识相互独立、无法共享的问题,针对闭环全生命周期特点,提出了一种知识集成与语义标注方法。首先,简要阐述了闭环全生命周期管理系统中知识集成与语义标注的内涵;其次,利用本体技术对低温等离子体设备构建了多维度、多层次知识集成框架;然后,在此基础上,给出了知识文档语义标注流程,设计出一种文档语义向量与本体语义向量的提取与匹配计算方法,完成了低温等离子体设备中一个子系统的知识文档语义标注。设计测试实验并进行验证,实验结果表明,利用闭环全生命周期管理系统中的知识文档数据集进行语义标注,平均准确率达到84%,平均召回率达到79%。所提知识集成与语义标注方法可以实现知识文档在闭环全生命周期管理系统中的共享与重用。

关键词: 闭环全生命周期管理, 本体, 知识集成, 语义标注, 低温等离子体设备

Abstract: The knowledge in the closed-loop lifecycle management system is independent and can't be shared. In order to solve the problems, aiming at the characteristics of the closed-loop lifecycle, a new knowledge integration and semantic annotation method was proposed. Firstly, the connotation of knowledge integration and semantic annotation in closed-loop lifecycle management system was expatiated briefly. Secondly, a multi-dimensional and multi-level knowledge integration framework was constructed by using ontology technology for low temperature plasma equipment. Then, on the above basis, a computing method of extracting and matching the document semantic vector and ontology semantic vector was designed. The knowledge document semantic annotation of one sub-system in low temperature plasma equipment was completed. Finally, the test experiments were designed and verified. The experimental results show that, by using knowledge document data set in the closed-loop lifecycle management system to complete the semantic annotation, the average accuracy rate of the proposed method is 84%, and its average recall rate is 79%. The proposed knowledge integration and semantic annotation method can realize the sharing and reuse of the knowledge document in the closed-loop lifecycle management system.

Key words: closed-loop lifecycle management, ontology, knowledge integration, semantic annotation, equipment of low temperature plasma

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