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GB/T 45628-2025Artificial intelligence — Knowledge graph — Knowledge exchange protocol (English PDF)

人工智能知识图谱知识交换协议

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Issued by

SAMR; SAC

Level / Type

National · Recommended

Issue date

April 25, 2025

Implementation date

April 25, 2025

Scope

GB/T 45628-2025 is the English-translated version of 人工智能知识图谱知识交换协议.

GB/T 45628-2025 is the Chinese national standard covering moving knowledge from one knowledge graph to another — the protocol model, the description rules for the ontology with its entity, relationship and attribute types and its axiom constraints, and for the instances and their numbering, the knowledge file structure for bulk transfer, and the message route with its provider, consumer and broker roles and the service registration by which a consumer finds a provider it was not configured with. Written for the design, development, testing and deployment of knowledge graph systems. At 33,000 words. First edition, in force from 25 April 2025. Issued on 25 April 2025, it has been in force since 25 April 2025.

Document preview — GB/T 45628-2025

National Standard of the People's Republic of China

ICS: 35.240.01
Classification: L 70

Issued by: State Administration for Market Regulation; Standardization Administration of the PRC

PrefaceV
1 Scope1
2 Normative references1
3 Terms and Definitions1
4 Abbreviations2
5 General2
5.1 Knowledge Exchange Protocol Model2
5.2 Composition of knowledge exchange activities3
6 Knowledge Description Rules4
6.1 General4
6.2 Ontology Description5
6.2.1 Basic Information Description5
6.2.2 Entity Type Description7
6.2.3 Relationship Type Description8
6.2.4 Attribute type description10
6.2.5 Rules and Axiom Constraints12
6.3 Example Description14
6.3.1 Entity Description14
6.3.2 Relationship Description14
6.3.3 Attribute Description14
6.4 Number setting description15
6.4.1 Description requirements15
6.4.2 Numbering rules15
7 Document-based knowledge exchange1717
7.1 Knowledge File Structure17
7.2 Knowledge file description requirements18
7.2.1 General requirements18
7.2.2 Document description section description requirements18
7.2.3 Requirements for the description of the body19
7.2.4 Instance part description requirements20
7.3 Document-based knowledge exchange process20
8 Message-based knowledge exchange21
8.1 Overview21
8.2 Participating roles and responsible activities22
8.2.1 Knowledge Providers2223
8.2.2 Knowledge consumption23
8.2.3 Knowledge intermediaries23
8.2.4 Service management24
8.3 Knowledge exchange process24
8.3.1 Types of knowledge exchange24
8.3.2 Knowledge exchange between two parties25
8.3.3 Knowledge exchange between multiple parties29
8.4 Knowledge Message Structure33
8.4.1 Overview33
8.4.2 Knowledge exchange messages34
8.4.3 Service Registration and Discovery Messages37
Appendix A (Informative) Steps and Operational Flow of Knowledge Description Rules40
A.1 Overview40
A.2 Determine the scope and purpose of the description40
A.3 Collect and prepare knowledge elements40
A.4 Design knowledge description rules41
A.5 Application description rules41
A.6 Verification and testing41
A.7 Documentation and Sharing41
A.8 Maintenance and Updates42
Appendix B (Informative) Examples of Instance Descriptions in Knowledge Graphs43
Appendix C (Informative) Knowledge File Description Example44
Appendix D (Informative) API Documentation Description49
Appendix E (Informative) Knowledge Exchange Error Code50
Appendix F (Informative) Other Knowledge Exchange Models51
F.1 Multiple rounds of knowledge exchange51
F.2 Batch Knowledge Exchange51
F.3 Direct push knowledge exchange51
Appendix G (Informative) Service Registration and Discovery Message Description Element Field52
Appendix H (Informative) Knowledge Exchange between Multiple Parties Based on Microservice Architecture57
Appendix I (Informative) Message Structure in Asynchronous Knowledge Exchange via Knowledge Brokers58
Appendix J (Informative) Knowledge Exchange Message Description Example60
Appendix K (Informative) Knowledge Exchange Service Capability Description66
K.1 Overview66
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
References70

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

GB/T 30522-2014

GB/T 42012-2022

GB/T 42131-2022

GB/T 43697-2024

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.

......
This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 55 pages — is available in the English PDF.

Referenced standards

Normative references

Editions of GB/T 45628

Edition	Title	Revision	Status
GB/T 45628-2025	Artificial intelligence - Knowledge graph - Knowledge exchange protocol	current edition	Current

This page sells the current edition, GB/T 45628-2025. Earlier editions are listed for reference only.

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