Recognition method and device based on knowledge graph, electronic device and storage medium

A knowledge map and algorithm technology, applied in the field of big data mining, can solve problems such as the difficulty of verifying potential risk information in knowledge maps, and achieve the effects of improving user experience, reducing misjudgment rates, and enhancing security and reliability

Inactive Publication Date: 2019-08-09
简链科技(广东)有限公司
View PDF5 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the above-mentioned technical problems in the prior art, embodiments of the present disclosure propose a recognition method, device, electronic device, and computer-readable storage medium based on knowledge graphs to solve the problem that knowledge graphs are difficult to verify potential risk information

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
  • Recognition method and device based on knowledge graph, electronic device and storage medium
  • Recognition method and device based on knowledge graph, electronic device and storage medium
  • Recognition method and device based on knowledge graph, electronic device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] In the following detailed description, numerous specific details of the disclosure are set forth by way of example in order to provide a thorough understanding of the relevant disclosure. It will be apparent, however, to one of ordinary skill in the art that the present disclosure may be practiced without these details. It should be understood that the terms "system", "device", "unit" and / or "module" used in the present disclosure are used as a means of distinguishing between different parts, elements, sections or assemblies at different levels in a sequential arrangement. method. However, these terms may be replaced by other expressions if other expressions can achieve the same purpose.

[0045] It will be understood that when a device, unit or module is referred to as being "on," "connected to" or "coupled to" another device, unit or module, it can be directly on the other device, unit or module. connected or coupled to or communicate with other devices, units or mo...

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 embodiment of the invention discloses a recognition method and device based on a knowledge graph, an electronic device and a storage medium. The method comprises: obtaining a plurality of targetsand first information related to behaviors of the targets from a plurality of heterogeneous data sources through intelligent processing, establishing a knowledge graph with the targets as nodes and connection between the targets as edges, and the nodes and the edges being provided with at least one attribute; processing the knowledge graph according to the risk degree in the at least one attribute, and automatically identifying at least one potential low-credibility group; automatically sending an information collection message to the related nodes of the potential low-credibility group through at least one communication channel; and receiving second information fed back by the information collection message, intelligently processing the second information, updating the knowledge graph, and confirming and marking the verified low-credibility group.

Description

technical field [0001] The present disclosure relates to the field of big data mining, and in particular to a recognition method, device, electronic equipment and storage medium based on a knowledge map. Background technique [0002] The rapid development of the Internet and communication technology has brought unimaginable convenience to the production and life of the whole society, but at the same time, due to the openness and freedom of the Internet, various unhealthy phenomena in life have also been magnified on the Internet. Life has created a lot of negativity. Typically, behaviors such as marketing or fraud, which are less accessible in daily social life, are infinitely magnified and promoted through the Internet and telecommunications technology, which has seriously affected the normal lives of most people. [0003] In the existing technology, common marking of information is usually used to help identify bad behaviors, such as identifying and discovering fraudsters...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06N20/00
CPCG06F16/367G06N20/00
Inventor 邓大权刘臣汪振兴和会荣
Owner 简链科技(广东)有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products