中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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; Song, Baoyan2
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
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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