Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Knowledge graph-based enterprise risk prediction method and system

A technology of knowledge graph and risk prediction, applied in the field of risk discovery and early warning analysis of itself and its affiliated enterprises, it can solve the problems of high cost, low efficiency and low timeliness of risk prediction and analysis, and achieve the effect of avoiding business risks.

Inactive Publication Date: 2018-09-28
BEIJING ZTE DIGITAL TECH
View PDF3 Cites 89 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

So as to solve the problems of high cost, low efficiency, high threshold and low timeliness of enterprise risk prediction analysis

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Knowledge graph-based enterprise risk prediction method and system
  • Knowledge graph-based enterprise risk prediction method and system
  • Knowledge graph-based enterprise risk prediction method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] Below in conjunction with accompanying drawing and specific implementation case, further illustrate the present invention, it should be understood that these implementation cases are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after reading the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0057] Such as image 3 As shown, the present invention first constructs the model of the enterprise knowledge map, including the entity model and the relationship model, and then instantiates the entity model and the relationship model through information collection, and the collected information includes enterprise profile information, enterprise background information (including basic information , corporate relations, key personnel, shareholder inf...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a knowledge graph-based enterprise risk prediction method and system. The method comprises the steps of 1) constructing entities of an enterprise knowledge graph, establishingrelationships between the entities, and extracting knowledge from set data sources to form the enterprise knowledge graph; 2) capturing news information of enterprises and related entities, processingthe captured news information based on the enterprise knowledge graph, marking relationships between the related entities and events, and storing marked information in a structured knowledge base toform an enterprise news information knowledge graph; and 3) performing enterprise risk prediction based on the enterprise knowledge graph and the enterprise news information knowledge graph. The blankof an existing knowledge graph in the field of enterprise risk analysis is filled; and the constructed enterprise knowledge graph and enterprise news information knowledge graph have relatively highpracticality.

Description

technical field [0001] The present invention relates to the application of knowledge map in the field of enterprise risk early warning analysis, specifically a method for self and associated enterprise risk discovery and early warning analysis for extracting and analyzing internal business data and real-time events through knowledge map. Background technique [0002] With the continuous development of artificial intelligence (AI) technology, data as the basis of AI is increasingly valued by enterprises. Through algorithm mining and analysis, data can form considerable value, and the core of AI is to study how to use computers to process easily. This has led to the fact that since 2017, the appeal of "knowledge" or "knowledge graph" has greatly exceeded that of "data" itself. [0003] Knowledge Graph, also known as scientific knowledge graph, is a series of different graphs showing knowledge development process and structural relationship, using visualization technology to de...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q10/06G06F17/30
CPCG06Q10/0635
Inventor 李鹏飞徐俊刚董航
Owner BEIJING ZTE DIGITAL TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com