GB/T 46686.1-2025Standard-oriented knowledge graph - Part 1: Implementation guidelines (English PDF)

Foreword

This document complies with the provisions of GB/T 1.1-2020 "Standardization Work Guidelines Part

1.Structure and Drafting Rules of Standardization Documents". Drafting. This document is Part 1 of GB/T 46686, "Standard Knowledge Graphs". GB/T 46686 has already published the following parts.

1.Implementation Guidelines Please note that some content in this document may involve patents. The issuing organization of this document assumes no responsibility for identifying patents. This document was proposed and is under the jurisdiction of the National Standards Digitalization Working Group (SAC/SWG29). This document was drafted by: China Electronics Technology Standardization Institute, China National Institute of Standardization, and Beijing CESI Technology Development Co., Ltd. Company, Academy of Military Sciences Systems Engineering Research Institute, Guangzhou CESI Standard Testing & Research Institute Co., Ltd., South China University of Technology, Nanjing University of Science and Technology, and others Fangzhi.com Digital Technology Co., Ltd., China Automotive Engineering Research Institute Co., Ltd., CASCO Signal Co., Ltd., Nanjing Korgi Data Technology Co., Ltd. Technology Co., Ltd., State Grid Information & Communication Industry Group Co., Ltd., China Southern Power Grid Science Research Institute Co., Ltd., Chinese Academy of Medical Sciences Institute of Biomedical Engineering, Guangdong Yue Dian Information Technology Co., Ltd., East China Normal University, Beijing University of Technology, Qizhidao Technology Co., Ltd. Weikai Testing Technology Co., Ltd., Beijing Academy of Science and Technology Analysis and Testing Institute (Beijing Physical and Chemical Analysis and Testing Center), China Electric Equipment Group Science and Technology Research Institute Co., Ltd., Shanghai Intelligent Manufacturing Functional Platform Co., Ltd., Beijing Haiying Science and Technology Information Institute, Guotai Junan Securities Co., Ltd., Shanghai Pudong Software Park Co., Ltd., China Machinery Research Institute (Beijing) Co., Ltd., Changjiang Securities Co., Ltd. Xinda Software Technology (Wuhan) Co., Ltd., Beijing Jiaotong University, China Shipbuilding Group Corporation Comprehensive Technology and Economic Research Institute, China Petroleum Group Engineering Materials Research Institute Co., Ltd., Jiangsu Yiyuan Technology Co., Ltd., Tonglue Technology Co., Ltd., Nanjing Yunwen Network Technology Co., Ltd. Limited Liability Company, Hangzhou Ruicheng Information Technology Co., Ltd., Jiangsu Ruifeng Information Technology Co., Ltd., Fudi Battery Co., Ltd., Guangdong Jia Xiang Intelligent Technology Co., Ltd., Hubei Provincial Institute of Standardization and Quality, China Mobile (Suzhou) Software Technology Co., Ltd., Dongfang Electric (Guangzhou) Heavy Machinery Co., Ltd. Type Machinery Co., Ltd., Jiangsu Qunjie Internet of Things Technology Co., Ltd. The main drafters of this document are. Zhang Mingying, Wang Yiyi, Gu Zhaobing, Wang Lixi, Liu Xize, Huang Shenghua, Cai Yi, Qi Yong, Le Bin, and Shi Jiahao. Li Nannan, Zhou Tingliang, Wu Gang, Li Qingfeng, Yu Feng, Pu Jiangbo, Zhu He, Yin Qingyun, Hao Guanya, Wang Xiaoling, Li Ningning, Yao Bo, Li Chunmei Gao Yanxuan, Ren Haopeng, Zhai Denghui, Lü Qianqian, Zhao Jing, Xie Yu, Chen Ting, Yang Zhen, Li Ruiqi, Ding Qiang, Zhou Jiarui, Wang Qingchen, Zhang Wanli, He Yuhao Su Chunhua, Wang Yuxuan, Qin Jiayan, Tang Guanghui, Han Wenjuan, Sun Hongjun, Huang Hongfa, Li Tong, Gao Xiaoxin, Yang Lin, Wang Ruoya, Zheng Jiaming, Chen Xinyi Han Zheng, Wang Zhiwu, Jin Zhenglei, Wang Heng, Ding Yonghua, Zhang Shoubo, He Tailin, Chen Yanming, Yao Fei, Zhang Wenhui, Ge Yongxin, Cheng Yun.

Standard Knowledge Graph (SKG) uses technologies such as artificial intelligence and big data to digitize standards and their entire lifecycle. This involves acquiring and integrating standard knowledge from structured, semi-structured, and unstructured standard data. This is achieved by leveraging the rules inherent in the standards. Sexual knowledge is transformed into a logically clear and structurally complete relational system, enabling functions such as retrieval, recommendation, question answering, and reasoning of standard knowledge, through machine learning. The use of device-readable data in computation enables standards to be read, transmitted, understood, and applied by digital devices, thus driving the digital transformation of standards. GB/T 46686 is proposed to consist of two parts.

1.Implementation Guidelines. The purpose is to provide recommendations for the implementation of standard knowledge graph construction, application, and updating.

2.Quality Assessment. The purpose is to provide a quality assessment index system and evaluation methods for standard knowledge graphs. Standard Knowledge Graph Part

1 Scope

GB/T 46686.1-2025 is the Chinese national standard covering building a knowledge graph out of standards themselves - the entities that are documents, clauses, terms and requirements, the relations of citation, replacement and adoption between them, and the construction and maintenance of the graph. Part 1 of the series, first edition, and it sits with the machine language expression series GB/T 46687. It was issued on 2 December 2025 and has been in force since 1 July 2026, as a first edition. The document is under the responsibility of the Standardization Administration of China. This page is published from the official record of the 2025 edition; the clause text of a standard this recent is not yet in circulation, and the figures, limits and tables it contains are those of the document itself, delivered in full with the English translation.

This document provides guidance on standard data preprocessing and the construction, application, and updating of standard knowledge graphs (SKGs), outlining the SKG framework. Examples of system construction and reference examples of industry applications. This document is applicable to all types of organizations for building, applying, and updating SKG.

2 Normative references

The contents of the following documents, through normative references within the text, constitute essential provisions of this document. Dated citations are not included. For references to documents, only the version corresponding to that date applies to this document; for undated references, the latest version (including all amendments) applies. This document.

GB/T 1.1-2020 Standardization Work Guidelines Part

3 Terms and Definitions

The terms and definitions defined in GB/T 42131-2022, as well as the following terms and definitions, apply to this document.

3.1 standard element Relatively independent functional units derived from the content of standardized documents.

Note. Standard elements include normative and informative elements of standardized documents, such as cover, table of contents, preface, introduction, scope, normative references, and core information. Technical elements, etc.

3.2 A knowledge graph containing standard elements (3.1) and their relationships is formed based on information in the standard documents.

3.3 data quality When used under specified conditions, the degree to which the characteristics of the data meet explicit and implicit requirements. [Source: GB/T 25000.12-2017, 4.3]

3.4 The task of identifying the relationships between entities mentioned in a text.