Banking industry-oriented full-stack financial knowledge graph platform

A knowledge graph, full-stack technology, applied in finance, instruments, text database browsing/visualization, etc., can solve the problems of difficult reuse, high technical threshold, low graph construction and production efficiency, etc., to shorten the construction cycle, shorten the The production cycle and the effect of improving business processing efficiency

Pending Publication Date: 2022-03-25
BANK OF COMMUNICATIONS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0015] The purpose of the present invention is to provide a full-stack financial knowledge graph platform for the banking industry in order to overcome the defects of graph construction and production efficiency in the above-mentioned prior art, graph heterogeneity and dispersion, difficulty in reuse, and high technical threshold

Method used

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  • Banking industry-oriented full-stack financial knowledge graph platform
  • Banking industry-oriented full-stack financial knowledge graph platform
  • Banking industry-oriented full-stack financial knowledge graph platform

Examples

Experimental program
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Effect test

Embodiment 1

[0060] This embodiment provides a banking-oriented full-stack financial knowledge graph platform, including:

[0061] The graph construction layer is configured to manage source data, create logical graph ontology, produce graphs, perform graph governance, and perform task scheduling;

[0062] The graph warehouse management layer is configured to store graphs in different fields for specific business scenarios;

[0063] The service application layer is configured to perform graph visual search, graph data mining, graph query and graph model application;

[0064] The application interface layer is configured to provide the platform with access to financial knowledge graph services;

[0065] The infrastructure layer is configured to provide platform source data for the map construction layer, and the infrastructure layer includes one or more of Paas cloud platform, big data platform and AI capability platform.

[0066] The map construction layer includes a source data manageme...

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Abstract

The invention relates to a banking industry-oriented full-stack financial knowledge graph platform, which comprises a graph construction layer configured to perform source data management, logic graph ontology creation, graph production, graph treatment and task scheduling; the map warehouse management layer is configured to store maps of different fields for specific business scenes; the service application layer is configured to perform map visual search, map data mining, map query and map model application; and the application interface layer is configured to provide financial knowledge graph service access capability for the platform. Compared with the prior art, the method has the advantages that key graph management links of knowledge acquisition, knowledge representation, knowledge storage, knowledge fusion, knowledge modeling, knowledge calculation and knowledge application are realized, the whole process from knowledge raw materials to intelligent data conversion is supported, full-stack graph production and application service capability is provided, and graph construction and production efficiency is improved.

Description

technical field [0001] The present invention relates to the field of knowledge graphs of the banking industry, in particular to a banking-oriented full-stack financial knowledge graph platform. Background technique [0002] With the rapid growth of banking business and the continuous improvement of customer service levels, data is presented in the form of a new economic asset class, and the banking industry has entered a new era of big data information. Traditional database technology has been difficult to support the needs of big data processing. , it is necessary to establish a new innovation mechanism to provide conditions and guarantees for business model innovation based on big data. In recent years, major domestic banking institutions have built systems such as big data platforms and data warehouses, but the deep-seated correlations within the massive data have not yet been constructed, and cannot provide information for risk management and control, customer marketing,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F16/34G06Q40/02
CPCG06F16/367G06F16/34G06Q40/03
Inventor 汪娜沈稚源仇钧付韶兴涂文斌
Owner BANK OF COMMUNICATIONS
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