Supercharge Your Innovation With Domain-Expert AI Agents!

Federal knowledge graph construction method, system and device and storage medium

A knowledge graph and construction method technology, applied in the fields of equipment and storage media, systems, and federated knowledge graph construction methods, can solve problems such as difficult multi-party data, construction of knowledge graphs, lack of data association, etc., and achieve good expansion effects.

Pending Publication Date: 2022-07-22
CHINA MERCHANTS BANK
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The main purpose of this application is to provide a method, system, device, and storage medium for constructing a federated knowledge map, aiming to solve the problem in the prior art that it is difficult to combine multi-party data to construct a knowledge map due to the scattered data and lack of correlation between the data. technical issues

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
  • Federal knowledge graph construction method, system and device and storage medium
  • Federal knowledge graph construction method, system and device and storage medium
  • Federal knowledge graph construction method, system and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

[0065] The embodiments of the present application provide a method for constructing a federated knowledge graph. In the first embodiment of the method for constructing a federated knowledge graph of the present application, refer to figure 1 , the method for constructing the federated knowledge graph includes:

[0066] Step S10, acquiring multi-source heterogeneous data in the target domain, and generating each multi-source data table based on the multi-source heterogeneous data;

[0067] In this embodiment, it should be noted that the target field includes medical, financial, aerospace and other fields. In this application, the financial field is used as the target field for description, and the multi-source heterogeneous data is obtained through unified The knowledge framework aggregates public, retail an...

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 federal knowledge graph construction method, system and device and a storage medium, and the method comprises the steps: obtaining multi-source heterogeneous data of a target domain, generating each multi-source data table based on the multi-source heterogeneous data, carrying out the classification analysis of each multi-source data table, and obtaining target graph information, the target map information comprises different types of map entities, entity attributes, different types of map edges and edge attributes, generating different entity files and edge relation files based on the target map information, and constructing a target federated knowledge map based on the different entity files and edge relation files. The technical problem that it is difficult to combine multi-party data to construct the knowledge graph due to the fact that various kinds of data are dispersed and lack of association among the data is solved.

Description

technical field [0001] The present application relates to the field of Internet technologies, and in particular, to a method, system, device and storage medium for constructing a federated knowledge graph. Background technique [0002] Knowledge Graph (Knowledge Graph), known as knowledge domain visualization or knowledge domain mapping map in the library and information industry, is a series of various graphs showing the development process and structural relationship of knowledge. In the process of building a knowledge graph, it is necessary to identify various However, in a large number of application scenarios in the financial industry, due to the lack of a unified knowledge framework, various types of data are scattered, and there is a lack of correlation between data, which makes it difficult to combine multi-party data to build a knowledge graph. SUMMARY OF THE INVENTION [0003] The main purpose of this application is to provide a method, system, device and storage...

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): G06F16/36G06F16/35G06F16/957G06N20/20
CPCG06F16/367G06F16/35G06F16/957G06N20/20
Inventor 汪河言李金龙刘攀季江舟贺瑶函
Owner CHINA MERCHANTS BANK
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com