Supercharge Your Innovation With Domain-Expert AI Agents!

Knowledge graph visualization analysis method

An analysis method and technology of knowledge graph, applied in structured data retrieval, special data processing applications, database indexing, etc., can solve the problems that ordinary people cannot directly understand and use, and achieve the effect of easy understanding

Pending Publication Date: 2021-03-16
武汉众智数字技术有限公司
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The direct results of knowledge map analysis require professional technicians to understand, and ordinary people cannot directly understand and use them

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 visualization analysis method
  • Knowledge graph visualization analysis method

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment 1

[0045] The steps of using the knowledge map visualization analysis method in this embodiment for family map analysis include: when performing family map analysis, after obtaining the result data through knowledge map analysis, the present invention can use the data according to the node gender attribute, Draw the male node as a blue node, draw the female node as a red node; mark the name of the person under the node circle, and highlight the name of the person who is currently focusing on it with a red bold font; arrange the nodes according to blood relationship, Parents are at the upper level of children, peers are at the same level, grandchildren are at the next level of children, and finally arranged into a tree structure; use lines to represent the relationship between nodes, and the arrows of the lines represent the relationship Directional, the text above the connection describes the relationship between nodes. Through such a visual display, it can help analysts to under...

specific Embodiment 2

[0047] The steps of using the knowledge map visualization analysis method in this embodiment for case judgment and analysis include: during the case research and judgment process, it is possible to analyze a certain case or person, click on a node to display the node menu, and select different functions of the node menu to Expand all kinds of data, have an intuitive understanding of the known data of the entire case, and analyze the relationship between different data. Among them, the node menu can be customized and developed to query all kinds of data currently connected. When displaying various nodes, different node icons are drawn according to the type of node; the description of the node is also displayed according to different types, such as the name of a person as the description under the node, and the license plate number of the vehicle as the description under the node. For the case, the case type is used as the description under the node and so on. Connections betwe...

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 relates to a knowledge graph visualization analysis method which comprises the following steps of: obtaining triple data including entities, attributes and relationships; and drawing a graph according to the triple data, including drawing an entity as nodes, selecting an adaptive layout algorithm according to different application scenarios, arranging the nodes according to the layout algorithm, representing relationships among the nodes by using connecting lines, representing directivity of the relationships by using arrows of the connecting lines, and displaying description ofthe relationships among the nodes on the connecting lines. According to the method, the knowledge graph analysis result is expressed in a more easily understood and more intuitive mode, the relationship between nodes can be intuitively seen in the graph drawing process and after the graph drawing is completed, the displayed key nodes and key relationships are highlighted, and more efficient and more reliable support is provided for various applications such as search, analysis, mining, application, display, prediction, early warning and the like.

Description

technical field [0001] The invention belongs to the field of knowledge graph visualization, and in particular relates to a knowledge graph visualization analysis method. Background technique [0002] As the types of data in various industries become more and more complex and the amount of data is increasing, it is difficult to complete the analysis of such a large workload if manual analysis is performed according to the traditional table list. Not only is the efficiency low, but it is also difficult to analyze the data potential links between. [0003] The development of knowledge map technology has been relatively mature so far, and the construction of industry knowledge maps can now be realized. It can integrate a large number of isolated and heterogeneous data into the knowledge map, and organize fragmented data organically. In the knowledge network of the known way, the connection between the data is analyzed. [0004] The direct results of knowledge map analysis requ...

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): G06F16/28G06F16/22
CPCG06F16/287G06F16/288G06F16/2228
Inventor 杨安成
Owner 武汉众智数字技术有限公司
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