An Improved Knowledge Graph Model Based on Fuzzy Theory and TransR

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业控制网络与系统研究室

	An Improved Knowledge Graph Model Based on Fuzzy Theory and TransR
	Cai, YK(蔡颖凯)1; Wang C(王楚)2,3,4; Wang ZF(王忠锋)2,3,4; Song CH(宋纯贺 )2,3,4; Zou Yunfeng 5
	2020
会议日期	December 12-13, 2020
会议地点	Chongqing, China
关键词	Knowledge Graph Fu勾， Theory Deep Leaming Translation Model Introduction
页码	1503-1508
英文摘要	This paper relates to the field of knowledge management and information retrieval technology, and specifically provides a method for constructing a knowledge graph. The method for constructing the knowledge graph includes: acquiring triple data, converting the triple data into a normalized triple vector, using the triple vector to construct a knowledge graph based on fuzzy relations, and The minimization objective optimization function of the triple vector is acquired, and the knowledge graph is optimized. This paper reduces the complexity of the knowledge map training process and the time required for the training process.
产权排序	2
会议录	2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISBN号	978-1-7281-5244-8
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/27967]
专题	沈阳自动化研究所_工业控制网络与系统研究室
通讯作者	Wang C(王楚); Wang ZF(王忠锋)
作者单位	1.State Grid Liaoning Marketing Service Center, Shenyang, China 2.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China 3.Shenyang Institute of Automation, Chinese Academy of Sciences,Shenyang, China 4.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 5.State Grid Jiangsu Marketing Service, Nanjing, China
推荐引用方式 GB/T 7714	Cai, YK,Wang C,Wang ZF,et al. An Improved Knowledge Graph Model Based on Fuzzy Theory and TransR[C]. 见:. Chongqing, China. December 12-13, 2020.