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Knowledge graph construction method and device, computer system and readable storage medium

A technology of knowledge map and construction method, which is applied in the field of computer systems and readable storage media, and knowledge map construction, which can solve the problems of inability to identify risks from different regional perspectives and strong limitations of risk control models, so as to avoid strong limitations Effect

Pending Publication Date: 2020-06-19
PING AN MEDICAL & HEALTHCARE MANAGEMENT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method, device, computer system and readable storage medium for constructing a knowledge map, which is used to solve the limitation of the risk control model in the prior art due to the lack of means for deep mining of data relationships , the problem of being unable to identify risks from different regional perspectives

Method used

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  • Knowledge graph construction method and device, computer system and readable storage medium
  • Knowledge graph construction method and device, computer system and readable storage medium
  • Knowledge graph construction method and device, computer system and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] see figure 1 , a method for building a knowledge map based on big data in this embodiment, including:

[0057] S101: Obtain normal basic information from the database, extract keywords of the normal basic information, and deduplicate the keywords to obtain normal information elements; wherein, the normal basic information reflects the attributes of virtual subjects that meet preset authentication rules and / or behavior, the normal information element reflects any attribute or behavior of the virtual subject;

[0058] S103: Mining two normal information elements with a normal directed association relationship among each normal information element, and identifying the two normal information elements as normal directed association features; wherein, the normal directed association relationship is Refers to two normal information elements with a sufficient and unnecessary conditional relationship;

[0059] S105: Mining two normal information elements with a normal undirect...

Embodiment 2

[0066] This embodiment is a specific application scenario of the first embodiment above. Through this embodiment, the method provided by the present invention can be described more clearly and specifically.

[0067] Next, take the server running the knowledge graph construction method to build a knowledge graph in the database that reflects the relationship between each normal information element and each abnormal basic information, the sufficient and unnecessary condition relationship and the sufficient and necessary condition relationship as an example, to describe the knowledge map provided by this embodiment The method is described in detail. It should be noted that this embodiment is only exemplary, and does not limit the protection scope of the embodiment of the present invention.

[0068] figure 2 A schematic diagram of an environment application of the method for constructing a knowledge graph according to Embodiment 2 of the present application is schematically show...

Embodiment 3

[0130] see Figure 8 , a device for building knowledge graphs based on big data in this embodiment, including:

[0131] The normal keyword extraction module 11 is used to obtain normal basic information from the database, extract keywords of the normal basic information and deduplicate the keywords, and obtain normal information elements; wherein, the normal basic information reflects The attribute and / or behavior of the virtual subject of the authentication rule, the normal information element reflects any attribute or behavior of the virtual subject;

[0132] The normal directional association module 13 is used to mine two normal information elements that have a normal directional association relationship among the normal information elements, and identify the two normal information elements as normal directional association features; wherein, the The above-mentioned normal directed relationship refers to two normal information elements with sufficient and unnecessary condi...

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Abstract

The invention discloses a knowledge graph construction method and device, a computer system and a readable storage medium, and the method comprises the steps: obtaining normal basic information from adatabase, extracting keywords of the normal basic information, and carrying out the duplicate removal of the keywords to obtain normal information elements; mining two normal information elements with a normal directed association relationship in each normal information element, and determining the two normal information elements as normal directed association features; mining two normal information elements with a normal undirected association relationship in each normal information element, and identifying the two normal information elements as normal undirected association features; and according to the normal directed association features and the normal undirected association features, constructing a knowledge graph used for expressing association relationships among the normal information elements. According to the method, the knowledge graph reflecting the sufficient unnecessary condition relation and the sufficient necessary condition relation between the normal information elements is constructed, deep mining of the data relation is achieved, and an institution can identify risks of different area angles through the knowledge graph.

Description

technical field [0001] The present invention relates to the field of big data technology, and in particular to a knowledge graph construction method, device, computer system and readable storage medium. Background technique [0002] The risk control model is a computer program that can identify fraudulent insurance fraud personnel for medical insurance bureaus in various regions through intelligent risk control, reduce risk exposure, and protect the safety of medical insurance funds. The current risk control model is usually based on experience summarizing risk rules to formulate risk control rules to construct a risk control model for identifying risks. [0003] However, due to the lack of means for deep mining of data relationships, this risk control model has strong limitations and cannot identify risks from different regional perspectives. Contents of the invention [0004] The purpose of the present invention is to provide a method, device, computer system and readab...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/28G06F16/2458G06Q10/06G06Q40/08
CPCG06F16/288G06F16/2465G06Q10/0635G06Q40/08
Inventor 郭建福吴东辉
Owner PING AN MEDICAL & HEALTHCARE MANAGEMENT CO LTD
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