Detection of Entity-Description Conflict on Duplicated Data Based on Merkle-Tree for IIoT
文献类型:会议论文
作者 | Wang, Yan1,2; Zeng, Hui2; Yang, Bingqing2; Zhu Z(朱珠)2![]() |
出版日期 | 2019 |
会议日期 | September 20-22, 2019 |
会议地点 | Qingdao, China |
关键词 | Entity-description conflict on duplicated data IIoT Merkle-tree |
页码 | 163-168 |
英文摘要 | Inferior data processing in IoT has always been one of the research hotspots, especially entity-description conflict on duplicated data. Moreover, for the fluctuation of industrial production data, the existing entity resolution technology is not applicable. Therefore, this paper proposes an entity resolution (ER) based on Merkle-tree for massive industrial production data (IDEM). Experiments show that the IDEM can improve the recognition accuracy. Compared with other ER methods the commonly used, the overall accuracy of IDEM is about 14.85% higher. © 2019, Springer Nature Switzerland AG. |
产权排序 | 1 |
会议录 | Web Information Systems and Applications - 16th International Conference, WISA 2019, Proceedings
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会议录出版者 | Springer |
会议录出版地 | Berlin |
语种 | 英语 |
ISSN号 | 0302-9743 |
ISBN号 | 978-3-030-30951-0 |
源URL | [http://ir.sia.cn/handle/173321/25930] ![]() |
专题 | 沈阳自动化研究所_数字工厂研究室 |
作者单位 | 1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Beijing 110016, China 2.College of Information, Liaoning University, Shenyang 110036, China |
推荐引用方式 GB/T 7714 | Wang, Yan,Zeng, Hui,Yang, Bingqing,et al. Detection of Entity-Description Conflict on Duplicated Data Based on Merkle-Tree for IIoT[C]. 见:. Qingdao, China. September 20-22, 2019. |
入库方式: OAI收割
来源:沈阳自动化研究所
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