An Improved Knowledge Graph Model Based on Fuzzy Theory and TransR
文献类型：会议论文
| 作者 | Cai, YK(蔡颖凯)2; Wang C(王楚)1,3,4 ; Wang ZF(王忠锋)1,3,4; Song CH(宋纯贺 )1,3,4; Zou Yunfeng5
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| 出版日期 | 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 |
| 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.Shenyang Institute of Automation, Chinese Academy of Sciences,Shenyang, China 2.State Grid Liaoning Marketing Service Center, Shenyang, China 3.Key Laboratory of Networked Control Systems, 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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