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GB/T 45628-2025: Artificial intelligence - Knowledge graph - Knowledge exchange protocol
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Artificial intelligence - Knowledge graph - Knowledge exchange protocol
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Basic data | Standard ID | GB/T 45628-2025 (GB/T45628-2025) | | Description (Translated English) | Artificial intelligence - Knowledge graph - Knowledge exchange protocol | | Sector / Industry | National Standard (Recommended) | | Classification of Chinese Standard | L70 | | Classification of International Standard | 35.240.01 | | Word Count Estimation | 78,730 | | Date of Issue | 2025-04-25 | | Date of Implementation | 2025-04-25 | | Issuing agency(ies) | State Administration for Market Regulation, China National Standardization Administration | GB/T 45628-2025: Artificial intelligence - Knowledge graph - Knowledge exchange protocol---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
ICS 35.240.01
CCSL70
National Standard of the People's Republic of China
Artificial Intelligence Knowledge Graph Knowledge Exchange Protocol
Released on 2025-04-25
2025-04-25 implementation
State Administration for Market Regulation
The National Standardization Administration issued
Table of contents
Preface V
1 Scope 1
2 Normative references 1
3 Terms and Definitions 1
4 Abbreviations 2
5 General 2
5.1 Knowledge Exchange Protocol Model 2
5.2 Composition of knowledge exchange activities 3
6 Knowledge Description Rules 4
6.1 General 4
6.2 Ontology Description 5
6.2.1 Basic Information Description 5
6.2.2 Entity Type Description 7
6.2.3 Relationship Type Description 8
6.2.4 Attribute type description 10
6.2.5 Rules and Axiom Constraints 12
6.3 Example Description 14
6.3.1 Entity Description 14
6.3.2 Relationship Description 14
6.3.3 Attribute Description 14
6.4 Number setting description 15
6.4.1 Description requirements 15
6.4.2 Numbering rules 15
7 Document-based knowledge exchange17
7.1 Knowledge File Structure 17
7.2 Knowledge file description requirements 18
7.2.1 General requirements 18
7.2.2 Document description section description requirements 18
7.2.3 Requirements for the description of the body 19
7.2.4 Instance part description requirements 20
7.3 Document-based knowledge exchange process 20
8 Message-based knowledge exchange 21
8.1 Overview 21
8.2 Participating roles and responsible activities 22
8.2.1 Knowledge Providers22
8.2.2 Knowledge consumption 23
8.2.3 Knowledge intermediaries 23
8.2.4 Service management 24
8.3 Knowledge exchange process 24
8.3.1 Types of knowledge exchange 24
8.3.2 Knowledge exchange between two parties 25
8.3.3 Knowledge exchange between multiple parties 29
8.4 Knowledge Message Structure 33
8.4.1 Overview 33
8.4.2 Knowledge exchange messages 34
8.4.3 Service Registration and Discovery Messages 37
Appendix A (Informative) Steps and Operational Flow of Knowledge Description Rules 40
A.1 Overview 40
A.2 Determine the scope and purpose of the description 40
A.3 Collect and prepare knowledge elements 40
A.4 Design knowledge description rules 41
A.5 Application description rules 41
A.6 Verification and testing 41
A.7 Documentation and Sharing 41
A.8 Maintenance and Updates 42
Appendix B (Informative) Examples of Instance Descriptions in Knowledge Graphs 43
Appendix C (Informative) Knowledge File Description Example 44
Appendix D (Informative) API Documentation Description 49
Appendix E (Informative) Knowledge Exchange Error Code 50
Appendix F (Informative) Other Knowledge Exchange Models 51
F.1 Multiple rounds of knowledge exchange 51
F.2 Batch Knowledge Exchange 51
F.3 Direct push knowledge exchange 51
Appendix G (Informative) Service Registration and Discovery Message Description Element Field 52
Appendix H (Informative) Knowledge Exchange between Multiple Parties Based on Microservice Architecture 57
Appendix I (Informative) Message Structure in Asynchronous Knowledge Exchange via Knowledge Brokers 58
Appendix J (Informative) Knowledge Exchange Message Description Example 60
Appendix K (Informative) Knowledge Exchange Service Capability Description 66
K.1 Overview 66
K.2 Service Implementation (Service Interface Description) 66
K.3 Service profile (non-functional description of service) 66
K.4 Service Model (Service Functional Description) 67
References 70
Foreword
This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for standardization work Part 1.Structure and drafting rules for standardization documents"
Drafting.
Some contents of this document may involve patents. The issuing organization of this document does not assume the responsibility for identifying patents.
This document was proposed and coordinated by the National Information Technology Standardization Technical Committee (SAC/TC28).
This document was drafted by. China Electronics Technology Standardization Institute, Shenzhen CESI Information Technology Co., Ltd., Xiamen Yuanting Information Technology Co., Ltd.
Co., Ltd., Jiangsu CESI Technology Development Co., Ltd., Hangzhou Hikvision Digital Technology Co., Ltd., Tongfang Knowledge Network Digital Publishing Technology Co., Ltd.
Co., Ltd., Inspur Yunzhou Industrial Internet Co., Ltd., Institute of Engineering Thermophysics, Chinese Academy of Sciences, Wuhan University of Science and Technology, Chinese Academy of Medical Sciences
Institute of Medical Information, Shenyang Neusoft Intelligent Medical Technology Research Institute Co., Ltd., Wuhan Sodata Information Co., Ltd., Shanghai Xiling
Information Technology Co., Ltd., GTCOM Technology Co., Ltd., North China Institute of Automation and Control Technology, Shenyang Institute of Automation, Chinese Academy of Sciences
Institute, China Electronics Technology Group Corporation Big Data Research Institute Co., Ltd., NetZhi Tianyuan Technology Group Co., Ltd., Shenyang Institute of Computing Technology, Chinese Academy of Sciences
Co., Ltd., Shandong Yiyun Information Technology Co., Ltd., Sugon Information Industry Co., Ltd., Zhejiang University of Technology, Dongfang Electric Group Science and Technology Co., Ltd.
Technology Research Institute Co., Ltd., Inspur Software Technology Co., Ltd., Shanghai Wenyu Information Technology Co., Ltd., Xi'an Chuxing Space Technology Co., Ltd.
Company, Beijing Jinghang Computing and Communication Research Institute, Wuhan Haiyun Health Technology Co., Ltd., Peking University, Ant Technology Group Co., Ltd.
Co., Ltd., Hubei Automotive Industry College, Beijing Holsai Smart City Technology Co., Ltd., Neusoft Group Co., Ltd., Zhengzhou Zhongye Technology Co., Ltd.
Co., Ltd., China Electric Power Research Institute Co., Ltd., Southwest Jiaotong University, China Mobile (Shanghai) Information and Communication Technology Co., Ltd., Terry Digital
Technology (Beijing) Co., Ltd., Beijing Zhitong Yunlian Technology Co., Ltd., Shaanxi Normal University, Chinese People's Liberation Army Army Service College,
China Southern Power Grid Co., Ltd. Ultra-high Voltage Transmission Company, Dongguan South China Design and Innovation Institute, Tianjin University, Beijing Machinery Industry Automation Research Institute
Institute Co., Ltd., Suzhou Interlezhen Intelligent Technology Co., Ltd., Guangdong Jiulian Technology Co., Ltd., Guangzhou Jinyu Medical Testing Center
Co., Ltd., Shenzhen Panyueliang Innovation Technology Co., Ltd., Inspur Communication Information System Co., Ltd., Xiamen Dinake IoT Smart Technology Co., Ltd.
Company, Capital Institute of Physical Education, Inspur General Software Co., Ltd., Sichuan China Tobacco Industry Co., Ltd., Guangzhou CESI Standard Testing Institute
Co., Ltd., Midea Group (Shanghai) Co., Ltd., Deepin (Shandong) Digital Technology Group Co., Ltd., the First Affiliated Hospital of Dali University, Anhui
Qi Technology Co., Ltd., Shenzhen Value Online Information Technology Co., Ltd., Putian University, Shenzhen Weiyan Technology Co., Ltd., Qizhidao
Technology Co., Ltd., Hangzhou Zhongfu Science and Technology Innovation Research Institute Co., Ltd., Zhengzhou Changxiang Hi-Tech Co., Ltd., Nobikan Artificial Intelligence Technology (Chengdu
Co., Ltd., China Southern Power Grid Research Institute Co., Ltd., Sinopec Yingke Information Technology Co., Ltd., Guoke Nengchuang (Beijing
Beijing) Technology Co., Ltd., Shenzhen Mingtong Technology Co., Ltd., Wenzhou Chint Smart Home Technology Co., Ltd., Hangzhou Liangzhi Data Technology
Co., Ltd., Zhongshi Kangkai Technology Co., Ltd., National Pipeline Network Group Northern Pipeline Co., Ltd., Fujian Torch Electronic Technology Co., Ltd.
Company, China Nuclear Information Technology (Beijing) Co., Ltd., Zhiqi Railway Equipment Co., Ltd., Guanwei Intelligent Technology (Beijing) Co., Ltd., China Electronics
Pengcheng Intelligent Equipment Co., Ltd., Guangzhou Yunqu Information Technology Co., Ltd., Ma'anshan People's Hospital, Chengdu Paiwote Technology Co., Ltd.
Company, Guangdong Power Grid Co., Ltd. Information Center, Shenzhen Jiangxing Lianjia Intelligent Technology Co., Ltd., China Unicom Wo Yuedu Technology and Culture Co., Ltd.,
Shenzhen Hanli Technology Co., Ltd., Shenzhen Chuangxin Internet Communication Technology Co., Ltd., Jingcheng Jiayu Technology (Shanghai) Co., Ltd., COSCO
Yun Technology Co., Ltd., Shandong Xintong Electronics Co., Ltd., Chaoyun Digital Technology Group Co., Ltd., Changchun Guanghua Technology Development Co., Ltd.
Co., Ltd., Wuhan Zall Digital Media Technology Co., Ltd.
The main drafters of this document are. Li Ruiqi, Han Li, Zhuo Lan, Jiang Weihao, Lv Qiang, Qi Guangpeng, Du Baorui, Wang Weiguang, Yang Hailong, Long Minggang,
Yin Qingyun, Gao Feng, Wang Shaohua, Hong Wanfu, Hu Chenglin, Cheng Yuhang, Li Jiao, Xu Yao, Liu Qifeng, Chen Ziyan, Chen Tong, Wei Yifan, Wang Ting, Ling Le,
Li Jia, Yan Liyue, Cai Huimin, Jia Chengbin, Liu Yuhai, Yu Shanqing, Wang Kechen, Pan Hongbo, Wang Jianjun, Yuan Chong, Zou Lei, Yu Bihui, Chen Cheng,
Tan Xinlong, Shao Yifan, Gong Jiayuan, Liu Shu, Cai Wei, Li Jie, Guo Zhihui, Wang Xiaohui, Zhou Wei, Gu Jingguang, Liu Junwei, Wang Xiaoming, Ma Jing, Zhang Dongmei,
Li Qiang, Zhang Xueqin, Zhu Jingyang, Xiao Hongmei, Qian Zhiyi, Chen Zuosong, Li Weilong, Xue Fei, Wen Wu, Jiao Guotao, Bian Yongru, Hou Li, Li Ruixin,
Huang Haifeng, Liu Yanfei, Zhao Qiong, Zhao Haipeng, Liu Si, Huang Shenghua, Quan Chuanxiao, Li Yufei, Zhu Chengzhong, Yang Xiang, Min Yanli, Li Bing, Li Zhao, Wu Wenliang,
Wu Meng, Xuan Qi, Xiang Yan, Chen Zhixiong, He Honghong, Li Zhaochuan, Du Xiawei, Mo Qian, He Yuxiao, Chu Yufei, Wang Dongliang, Shi Zhiyuan, Wang Yawei,
Ma Chaoyang, Gao Bo, Zhang Qiang, Tang Yifan, Li Bozhao, Ke Chunxiao, Kong Zhiwei, Zhao Xiang, Luo Gang, Liu Yi, He Zhiyong, Lang Junqi, Miao Chao, Su Mei,
Qiang Feng, Liu Luogen, Liu Bing, Feng Xianhua, Tang Jinyuan, Ding Hui, Liao Yu, Cai Yufeng, Liu Minchang, Dong Na, Huang Yu, Feng Feifei, Zhang Rongya, Wang Zhiyong,
Wang Hong, Wu Chenhuang, Liu Qinying, Suo Hansheng, Fan Xiaolong, Cao Xifei, Yue Haitao, Hu Lanfang, Wang Yunfei, Wang Qijing, An Kai, Wang Mingxin, Shi Jiahao,
Deng Congjian, Liu Dongqing, He Yongsheng, Huang Xi, Yao Chaosheng, Pang Haitian, Li Sun, Chen Yatao, Tang Meichao, Zhao Chenyi, Han Yi, Jia Lidong, Liu Guangjie,
Xue Ruibin, Ren Jianliang, Jin Xiaowei, Qin Xutao, Cai Fudong, Kong Zhiqiang, Yang Yong, Wang Yifu, Chen Cheng.
Artificial Intelligence Knowledge Graph Knowledge Exchange Protocol
1 Scope
This document specifies the overall framework of the knowledge exchange protocol, knowledge description rules, file-based knowledge exchange, message-based knowledge exchange, and
Change and wait.
This document is applicable to the design, development, testing and deployment of knowledge graph related systems.
2 Normative references
The contents of the following documents constitute essential clauses of this document through normative references in this document.
For referenced documents without a date, only the version corresponding to that date applies to this document; for referenced documents without a date, the latest version (including all amendments) applies to
This document.
GB/T 30522-2014 Basic principles and methods for standardization of metadata for scientific and technological platforms
GB/T 42012-2022 Information security technology - Data security requirements for instant messaging services
GB/T 42131-2022 Artificial Intelligence Knowledge Graph Technology Framework
GB/T 43697-2024 Data security technology data classification and grading rules
3 Terms and definitions
The following terms and definitions apply to this document.
3.1
Knowledge
Knowledge, judgment or skill acquired through study, practice or exploration.
[Source. GB/T 23703.2-2010, 2.1]
3.2
Knowledge Graph
A collection of knowledge elements and their connections described in a structured form.
3.3
Ontology
A model that represents entity types, attribute types, and the relationships between them.
Note. Also called ontology model.
3.4
Knowledge Exchange
Activities that enable the transfer of knowledge from providers to receivers.
3.5
A set of rules to be followed when exchanging knowledge.
3.6
Basic data blocks representing the smallest pieces of knowledge used in knowledge exchange.
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