CN-121981809-A - Data processing method, device, equipment and medium

CN121981809ACN 121981809 ACN121981809 ACN 121981809ACN-121981809-A

Abstract

The application provides a data processing method which can be applied to the technical field of artificial intelligence. The method comprises the steps of generating a comprehensive ecological knowledge graph based on enterprise ecological value data of a client to be processed, wherein the enterprise ecological value data comprises enterprise supply chain relation information, enterprise indirection relation information, enterprise fund transaction detail information, public client contribution information and personal client contribution information, generating the public client ecological knowledge graph based on the enterprise supply chain relation information, the enterprise indirection relation information, the enterprise fund transaction detail information and the comprehensive ecological knowledge graph, and determining ecological contribution data of the client to be processed based on the public client ecological knowledge graph, the public client contribution information and the personal client contribution information. The application also provides a data processing device, a storage medium and a program product.

Inventors

PENG CHENG

Assignees

中国工商银行股份有限公司

Dates

Publication Date: 20260505
Application Date: 20250630

Claims (14)

1. A method of data processing, the method comprising: Generating a comprehensive ecological knowledge graph based on enterprise ecological value data of a customer to be processed, wherein the enterprise ecological value data comprises enterprise supply chain relation information, enterprise stock control relation information, enterprise fund transaction detail information, public customer contribution information and personal customer contribution information; generating an ecological knowledge graph for public clients based on the enterprise supply chain relation information, the enterprise stock control relation information, the enterprise funds past detail information and the comprehensive ecological knowledge graph; and determining ecological contribution data of the clients to be processed based on the public client ecological knowledge graph, the public client contribution information and the personal client contribution information.
2. The method of claim 1, wherein generating the comprehensive ecological knowledge-graph based on the enterprise ecological value data of the customer to be processed comprises: Acquiring enterprise ecological value data of a customer to be processed; extracting fund relation information in the enterprise fund transaction detail information based on a first target model; And generating the comprehensive ecological knowledge graph based on the fund relation information, the enterprise supply chain relation information, the enterprise stock control relation information, the enterprise fund past detail information, the contribution information to public clients and the personal client contribution information.
3. The method of claim 2, wherein the generating an ecological knowledge-graph for a public customer based on the enterprise supply chain relationship information, the enterprise holdover relationship information, the enterprise funds transaction details information, and the comprehensive ecological knowledge-graph comprises: carrying out association summarization on the enterprise supply chain relation information, the enterprise stock control relation information and the enterprise fund past and future detail information to obtain summarized data; Performing entity extraction from the comprehensive ecological knowledge graph based on the summarized data by combining manual supervision with an entity extraction model to obtain an entity extraction result, wherein the categories of the entity comprise enterprises and individuals; Extracting entity relations from the comprehensive ecological knowledge graph based on the summarized data in a mode of combining manual supervision with a relation extraction model to obtain entity relation extraction results, wherein the entity relations comprise affiliated supply chains, control types and control proportions, positions, generation and sending wage information, receiving fund scales and transaction frequency; And storing the entity extraction result and the entity relation extraction result into a graph database together to generate the public customer ecological knowledge graph.
4. A method according to claim 3, wherein the categories of entities include personal entities containing customer names, personal customer numbers, public entities including public customer names, business customer numbers; The categories of entity relationships include upstream businesses, downstream businesses, controlling stakeholders, tennination Dong Jiangao, employed, government funds accepted, and business affinity.
5. A method according to claim 3, wherein said determining ecological contribution data of said customer to be processed based on said public customer ecological knowledge-graph, said public customer contribution information, and said personal customer contribution information comprises: determining an entity range included by the client to be processed based on the public client ecological knowledge graph; And generating ecological contribution data of the clients to be processed based on the entity range included by the clients to be processed, the contribution information of the public clients and the contribution information of the individual clients.
6. The method of claim 3, wherein the step of extracting the entity relationship from the comprehensive ecological knowledge graph based on the summarized data by combining the manual supervision and the relationship extraction model to obtain an entity relationship extraction result comprises: Extracting enterprise relations from the comprehensive ecological knowledge graph based on the summarized data through a manual supervision and relation extraction model; Determining a relationship strength of the enterprise relationship based on the enterprise relationship using a second target model; Determining a main relationship type between enterprises based on the relationship strength of the enterprise relationship; and taking the main relationship types among the enterprises as the entity relationship extraction result.
7. The method of claim 6, wherein when there are a plurality of business relationships between two of the businesses, the determining a primary relationship type between businesses based on a relationship strength of the business relationships comprises: determining main relationship types among enterprises according to the relationship strength maximum value of the enterprise relationships; And when the relationship strengths of the enterprise relationships are the same, determining the main relationship type among the enterprises according to the preset priority of the enterprise relationships.
8. The method of claim 2, wherein the obtaining enterprise supply chain relationship information comprises: Acquiring enterprise name information of a supply chain core enterprise and upstream and downstream associated enterprises thereof, and establishing an association relationship between the core enterprise and the associated enterprises; And obtaining a client name, a core enterprise mark, a relationship with the core enterprise and a supply chain based on the fund relationship information, the enterprise name information of the core enterprise of the supply chain and the upstream and downstream associated enterprises thereof and the associated relationship between the core enterprise and the associated enterprise.
9. The method of claim 2, wherein the obtaining enterprise holdover information comprises: The method comprises the steps of collecting personal stock information of a stockholder and stock information of an enterprise, wherein the personal stock information of the stockholder comprises a personal name, a personal identification card number, a name of a stock-held enterprise and a unified credit code, and the stock information of the enterprise comprises a stock-held enterprise, a name of the stock-held enterprise and the unified credit code; And obtaining a customer name, a certificate number, a relationship, a partner customer name and a partner customer certificate number based on the fund relationship information, the stakeholder personal equity information and the enterprise equity information.
10. The method of claim 2, wherein the obtaining business funds transaction details comprises: Collecting the user name and account information of the receiving party and the paying party; And obtaining a customer name, an account, a counter party name, a counter party account and a relation based on the fund relation information, the user name of the receiving party and the payment party and the account information.
11. The method according to claim 1, wherein the method further comprises: sending a request for acquiring the ecological value data of the enterprise to a user; and executing the operation of acquiring the enterprise ecological value data under the condition that the user agrees or authorizes to acquire the enterprise ecological value data.
12. A data processing apparatus, the apparatus comprising: The first generation module is used for generating a comprehensive ecological knowledge graph based on enterprise ecological value data of the clients to be processed, wherein the enterprise ecological value data comprises enterprise supply chain relation information, enterprise stock control relation information, enterprise fund transaction detail information, contribution information for public clients and contribution information for individual clients; The second generation module is used for generating an ecological knowledge graph for public clients based on the enterprise supply chain relation information, the enterprise stock control relation information, the enterprise funds past detail information and the comprehensive ecological knowledge graph; and the determining module is used for determining ecological contribution data of the clients to be processed based on the public client ecological knowledge graph, the public client contribution information and the personal client contribution information.
13. An electronic device, comprising: One or more processors; a memory for storing one or more computer programs, Characterized in that the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1-11.
14. A computer-readable storage medium, on which a computer program or instructions is stored, which, when executed by a processor, carries out the steps of the method according to any one of claims 1 to 11.

Description

Data processing method, device, equipment and medium Technical Field The present application relates to the field of artificial intelligence, and in particular, to a data processing method, apparatus, device, and medium. Background With the increasingly obvious comprehensive trend of banking financial services, when business banks develop business decisions, the value of public clients is an important reference standard, and corresponding marketing resource investment can be matched based on the value investment of the public clients. The traditional method for measuring the contribution to public clients is often based on a single client handling business at a bank as a data source and a simple algorithm, and in terms of resource consumption, the traditional method is simple in algorithm, and when a large amount of client data is processed, the single data processing time is short, but due to the lack of reasonable distribution and optimal utilization of computing resources, the whole system resources are long in occupied time and large in consumption. Particularly, during the business peak period, a large number of simple calculation tasks are operated simultaneously, which is easy to cause system resource shortage, influence the normal operation of other key businesses and reduce the overall performance and stability of the bank computer system. Disclosure of Invention In view of the foregoing, the present application provides a data processing method, apparatus, device, and medium. According to a first aspect of the application, a data processing method is provided, which comprises the steps of generating a comprehensive ecological knowledge graph based on enterprise ecological value data of a client to be processed, wherein the enterprise ecological value data comprises enterprise supply chain relation information, enterprise stock control relation information, enterprise fund transaction detail information, public client contribution information and personal client contribution information; generating an ecological knowledge graph for public clients based on the enterprise supply chain relation information, the enterprise stock control relation information, the enterprise funds past detail information and the comprehensive ecological knowledge graph; and determining ecological contribution data of the clients to be processed based on the public client ecological knowledge graph, the public client contribution information and the personal client contribution information. According to an embodiment of the present application, the generating the comprehensive ecological knowledge graph based on the enterprise ecological value data of the clients to be processed includes: Acquiring enterprise ecological value data of a customer to be processed; extracting fund relation information in the enterprise fund transaction detail information based on a first target model; And generating the comprehensive ecological knowledge graph based on the fund relation information, the enterprise supply chain relation information, the enterprise stock control relation information, the enterprise fund past detail information, the contribution information to public clients and the personal client contribution information. According to an embodiment of the present application, the generating an ecological knowledge graph for public clients based on the enterprise supply chain relationship information, the enterprise stock relationship information, the enterprise funds transaction detail information and the comprehensive ecological knowledge graph includes: carrying out association summarization on the enterprise supply chain relation information, the enterprise stock control relation information and the enterprise fund past and future detail information to obtain summarized data; Performing entity extraction from the comprehensive ecological knowledge graph based on the summarized data by combining manual supervision with an entity extraction model to obtain an entity extraction result, wherein the categories of the entity comprise enterprises and individuals; Extracting entity relations from the comprehensive ecological knowledge graph based on the summarized data in a mode of combining manual supervision with a relation extraction model to obtain entity relation extraction results, wherein the entity relations comprise affiliated supply chains, control types and control proportions, positions, generation and sending wage information, receiving fund scales and transaction frequency; And storing the entity extraction result and the entity relation extraction result into a graph database together to generate the public customer ecological knowledge graph. According to the embodiment of the application, the categories of the entities comprise personal entities and public entities, wherein the personal entities comprise customer names and personal customer numbers, and the public entities comprise public customer names and enterpr