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GB/T 42777-2023: Financial risk prevention and control based on text data - Technical framework guidelines for knowledge graph construction
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| Standard ID | Contents [version] | USD | STEP2 | [PDF] delivered in | Standard Title (Description) | Status | PDF |
| GB/T 42777-2023 | English | 349 |
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Financial risk prevention and control based on text data - Technical framework guidelines for knowledge graph construction
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GB/T 42777-2023
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Basic data | Standard ID | GB/T 42777-2023 (GB/T42777-2023) | | Description (Translated English) | Financial risk prevention and control based on text data - Technical framework guidelines for knowledge graph construction | | Sector / Industry | National Standard (Recommended) | | Classification of Chinese Standard | A11 | | Classification of International Standard | 35.240.40 | | Word Count Estimation | 18,178 | | Date of Issue | 2023-08-06 | | Date of Implementation | 2023-08-06 | | Issuing agency(ies) | State Administration for Market Regulation, China National Standardization Administration | GB/T 42777-2023: Financial risk prevention and control based on text data - Technical framework guidelines for knowledge graph construction
---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 35.240.40
CCSA11
National Standards of People's Republic of China
Financial risk prevention and control based on text data
Knowledge graph construction technical framework guide
Published on 2023-08-06
2023-08-06 Implementation
State Administration for Market Regulation
Released by the National Standardization Administration Committee
Table of contents
Preface III
1 Scope 1
2 Normative reference documents 1
3 Terms and Definitions 1
4 Overview of Knowledge Graph and Risk Prevention and Control 2
4.1 Overall architecture 2
4.2 Basic support layer 3
4.3 Data source layer 3
4.4 Knowledge extraction and processing layer 3
4.5 Knowledge Management 3
4.6 Knowledge mining and analysis layer 3
4.7 Risk prevention and control application layer 3
4.8 Knowledge service interaction layer 3
5 Knowledge graph construction 3
5.1 Build step 3
5.2 Knowledge extraction and processing 4
5.3 Knowledge storage 5
5.4 Graph analysis and graph mining 6
6 Risk prevention and control applications based on knowledge graph8
6.1 Key information and models for risk prevention and control8
6.2 Typical risk prevention and control application scenarios 8
Appendix A (informative) Example 10 of entity standard interface and parameter description
Appendix B (informative) Relationship standard interface and parameter description example 11
Reference 13
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.
Please note that some content in this document may be subject to patents. The publisher of this document assumes no responsibility for identifying patents.
This document is under the jurisdiction of the National Financial Standardization Technical Committee (SAC/TC180).
This document was drafted by. China Banking Association, China Institute of Standardization, Industrial and Commercial Bank of China Co., Ltd., Bank of Qingdao
Co., Ltd., Lanzhou Bank Co., Ltd., Jiangsu Jiangnan Rural Commercial Bank Co., Ltd., and Beijing Haizhixingtu Technology Co., Ltd.
The main drafters of this document. Gao Feng, Zhao Chenggang, Zhong Junfeng, Cao Xinyu, Liu Yong, Yang Bin, Miao Xiaojun, Hu Zhenghong, Yang Juan, Zhai Shidan, Liu Qing.
Financial risk prevention and control based on text data
Knowledge graph construction technical framework guide
1 Scope
This document gives a financial risk prevention and control knowledge graph and an overview of risk prevention and control based on text data, and provides knowledge graph construction, based on
Guidelines for risk prevention and control applications of knowledge graphs.
This document is suitable for financial institutions to build financial risk prevention and control knowledge graphs based on text data.
2 Normative reference documents
The contents of the following documents constitute essential provisions of this document through normative references in the text. Among them, the dated quotations
For undated referenced documents, only the version corresponding to that date applies to this document; for undated referenced documents, the latest version (including all amendments) applies to
this document.
GB/T 36618-2018 Information Security Technology Financial Information Services Security Specification
3 Terms and definitions
The following terms and definitions apply to this document.
3.1
entity entity
A type of concepts, people, and things with independent logical meaning.
Note. For example, enterprises, natural persons, judgment documents, tender documents, accounts, etc.
3.2
relationshiprelationship
The connection between entities at a specific time and under specific behavior.
Note. For example, equity relationships, transfer relationships, guarantee relationships, etc. between business entities.
3.3
attributeattribute
Characteristics of an entity or relationship.
Note. For example, the attributes of "natural person" include name, address, phone number, etc., and the attributes of "equity relationship" include shareholding ratio, relationship establishment time, etc.
3.4
knowledge graph knowledgegraph
A structured description of concepts, entities and their relationships in the objective world.
3.5
Investors who act in concert in the acquisition of listed companies and related changes in equity interests.
Note. Acting in concert refers to an investor's agreement or other arrangements to jointly expand the voting rights of a listed company's shares with other investors.
A right amount of behavior or fact.
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