Cloud manufacturing resource description based on environmental video semantics

被引:0
|
作者
Chen Y. [1 ]
Zhang Z. [1 ]
Liu J. [1 ]
Lyu S. [1 ]
Duan K. [1 ]
机构
[1] State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing
来源
| 1896年 / CIMS卷 / 26期
关键词
Cloud manufacturing; Environmental video semantics; Hierarchical expression; Resource description;
D O I
10.13196/j.cims.2020.07.018
中图分类号
学科分类号
摘要
Aiming at the problems that the difficult unified description of resources, the lag of available resources in the resource cloud pool and the weak implementation of resource matching plan of various industries in the cloud manufacturing environment, a hierarchical environmental video semantic model for visually expressing resource dynamic changes was proposed. The model defined the hierarchical structure of environment video semantics and the hierarchical expression of data through the change-oriented three domains (characteristic domain-behavior process domain-result domain), and organically combined the environmental video semantics with video content semantics in each hierarchical semantic description. The association representation of multi-environmental video data laid the foundation for the dynamic, real-time, efficient and reliable resource matching in the subsequent cloud manufacturing environment. © 2020, Editorial Department of CIMS. All right reserved.
引用
收藏
页码:1896 / 1904
页数:8
相关论文
共 26 条
  • [1] LI Bohu, ZHANG Lin, WANG Shilong, Et al., Cloud manufacturing: a new service-oriented networked manufacturing model, Computer Integrated Manufacturing Systems, 16, 1, pp. 1-8, (2010)
  • [2] LI Bohu, ZHANG Lin, REN Lei, Et al., Further discussion cloud manufacturing, Computer Integrated Manufacturing Systems, 17, 3, pp. 449-457, (2010)
  • [3] FISHER O, WATSON N, PORCU L, Et al., Cloud manufacturing as a sustainable process manufacturing route, Journal of Manufacturing Systems, 47, pp. 53-68, (2018)
  • [4] YANG Chen, WANG Zhongjie, WANG Shiming, Research on cloud manufacturing service discovery based on ontology, Manufacturing Automation, 34, 20, pp. 56-59, (2012)
  • [5] TAIEB M A H, AOUICHA M B, HAMADOU A B., Ontology-based approach for measuring semantic similarity, Engineering Applications of Artificial Intelligence, 36, pp. 238-261, (2014)
  • [6] JIANG Ping, WANG Li, WANG Shikai, Et al., A Method of services matching of cloud manufacturing based on ontology-DL, Computer Technology and Development, 23, 3, pp. 49-52, (2013)
  • [7] SANCHEZ D, BATET M, ISERN D., Ontology-based information content computation, Knowledge-Based Systems, 24, 2, pp. 297-303, (2011)
  • [8] JIANG Ping, Research on semantic matching model of cloud manufacturing services based on domain ontology, (2013)
  • [9] LI Xiaobin, YIN Chao, YIN Sheng, Semantic description and characteristics of machine tool resourcesin cloud manufacturing environment, Computer Integrated Manufacturing Systems, 20, 9, pp. 2164-2171, (2014)
  • [10] SANCHEZ D, BATET M, ISERN D, Et al., Ontology-based semantic similarity: A new feature-based approach, Expert Systems with Applications, 39, 9, pp. 7718-7728, (2012)