Discrete manufacturing ontology development
文献类型:会议论文
作者 | Wang P(王鹏)![]() ![]() ![]() ![]() ![]() |
出版日期 | 2017 |
会议名称 | 2017 IEEE International Conference on Industrial Technology, ICIT 2017 |
会议日期 | March 23-25, 2017 |
会议地点 | Toronto, ON, Canada |
关键词 | discrete manufacturing systems semantic web ontology, knowledge representation |
页码 | 1393-1396 |
通讯作者 | Cheng HB(程海波) |
中文摘要 | The manufacturing enterprises are currently under great pressures to shorten innovation cycles, grow importance of high-efficiency manufacturing and accommodate new products by building more factories. Discrete manufacturing sectors face a huge array of problems because of its specificity. Knowledge representation is one of the most highlighted troubles. In this case, ontology is a significant knowledge model for representing discrete manufacturing knowledge in a human and machine interpretable way. This knowledge can also be used for automatic design-making to reconfigure the control software that supervises and coordinates the production process of discrete manufacturing. This paper addresses the important issues in developing specific ontology for discrete manufacturing. A generic ontology named DeMO is developed considering all the aspects about product from customized order to resulting production. |
收录类别 | EI ; CPCI(ISTP) |
产权排序 | 1 |
会议主办者 | IEEE Industrial Electronics Society (IES); The Institute of Electrical and Electronics Engineers (IEEE) |
会议录 | Proceedings of the IEEE International Conference on Industrial Technology
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会议录出版者 | IEEE |
会议录出版地 | New York |
语种 | 英语 |
ISBN号 | 978-1-5090-5320-9 |
WOS记录号 | WOS:000404252400229 |
源URL | [http://ir.sia.cn/handle/173321/20488] ![]() |
专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
作者单位 | Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China |
推荐引用方式 GB/T 7714 | Wang P,Xue LL,Cheng HB,et al. Discrete manufacturing ontology development[C]. 见:2017 IEEE International Conference on Industrial Technology, ICIT 2017. Toronto, ON, Canada. March 23-25, 2017. |
入库方式: OAI收割
来源:沈阳自动化研究所
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