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A method of constructing knowledge map of financial risk control

A knowledge map and risk control technology, applied in knowledge expression, semantic tool creation, unstructured text data retrieval, etc., can solve problems such as the inability to integrate data from different sources, and achieve the effect of reducing financial fraud cases

Pending Publication Date: 2019-03-26
GUANGDONG UNIV OF TECH
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that the anti-fraud means of big data cannot integrate data from different sources in the prior art, the present invention provides a method for constructing a financial risk control knowledge map

Method used

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  • A method of constructing knowledge map of financial risk control
  • A method of constructing knowledge map of financial risk control

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Embodiment 1

[0031] Such as figure 1 , figure 2 As shown, a method for constructing a financial risk control knowledge graph includes the following steps:

[0032] Step S1: collect financial information data through crawler technology, and perform word segmentation processing;

[0033] Step S2: Use the deep belief network to extract knowledge from the processed data. Knowledge extraction includes the extraction of entities, relationships between entities, and attributes of entities;

[0034] Step S3: Use the result data of knowledge extraction as nodes in the knowledge map to construct a financial risk control knowledge map;

[0035] Step S4: storing the constructed medical knowledge graph in the Neo4j graph database.

[0036] Preferably, step S1 specifically includes the following steps:

[0037] Step S101: collect data from financial information through crawler technology obtained from network information, and the content of data information includes Xiangren's phone calls, consumpt...

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Abstract

The invention discloses a method for constructing a financial risk control knowledge map, which collects data of financial data through a crawler technology and performs word segmentation processing.Extracting knowledge from financial data using deep confidence networks, including entities and inter-entity relationships and attributes; taking The target entity as a knowledge map node, and obtaining and storing the financial risk control knowledge map in a Neo4j map database. The invention can make full use of the continuous transformation from data to knowledge, quickly integrate the financial data from different sources through the construction of the financial risk control knowledge map, and construct an anti-fraud engine to quickly and efficiently identify financial fraud cases.

Description

technical field [0001] The present invention relates to the financial field, and more specifically, to a method for constructing a financial risk control knowledge map. Background technique [0002] The knowledge graph describes the concepts and their relationships in the physical world in symbolic form. Its basic unit is the "entity-relationship-entity" triplet, as well as entities and their related attribute-value pairs. Entities are connected to each other through relationships to form Web-like knowledge structure. The knowledge graph follows the RDF data model and contains tens of millions or billions of entities, as well as billions or tens of billions of facts (that is, attribute values ​​and relationships with other entities), and these entities are organized in tens of thousands In the conceptual structure of the objective world embodied by semantic classes. Knowledge graphs, as a direct representation of relationships, provide a very convenient way to add new data...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F17/27G06F16/901G06N5/02
CPCG06N5/022G06F40/211G06F40/289G06F40/30
Inventor 王涛李嘉正程良伦
Owner GUANGDONG UNIV OF TECH
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