Unlock instant, AI-driven research and patent intelligence for your innovation.

Knowledge graph visualization method based on mechanics principle

A knowledge map and principle technology, applied in the field of knowledge map visualization, can solve the problem of inability to convert knowledge map triples into visualization, and achieve the effect of intuitive and complete expression

Pending Publication Date: 2020-11-20
南京柯基数据科技有限公司
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The present invention overcomes the deficiency in the prior art that triples of knowledge graphs cannot be converted into visualized relational graphs. The present invention provides a method for visualizing knowledge graphs based on mechanical principles, which can convert triples of knowledge graphs into relational graphs , can realize the ability to analyze problems intuitively through the relationship graph, and express the information contained in the knowledge graph more intuitively and completely

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 method based on mechanics principle
  • Knowledge graph visualization method based on mechanics principle
  • Knowledge graph visualization method based on mechanics principle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] Such as figure 1 As shown, a knowledge map visualization method based on mechanical principles of the present invention includes the following steps:

[0060] 1. Data conversion

[0061] Convert the triplet data of the knowledge map into relational collections and entity collections; it is worth noting that the relational collections include edge data, and the entity collections include node data; the converted data is the data structure that d3.js can handle, specifically The structure looks like this:

[0062]

[0063] Among them, nodes is a collection of entities, and nodes record node data. Each node has at least two attributes of name and id, name is the display name of the node, and id is the unique identifier of the node. Links records the edge data for the relationship collection. The edge data indicates the relationship between the nodes with the associated relationship. Each edge will record the source, target and id. The source is the starting node of th...

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 visualization method based on a mechanics principle, and belongs to the field of knowledge graph visualization. The method comprises the following steps: converting triple data of a knowledge graph into a relationship set and an entity set, wherein the relationship set comprises edge data, and the entity set comprises node data; marking the edge data and the node data; carrying out duplicate removal on the marked edge data and node data respectively; according to the node data and the edge data, calculating the length of the edge, the intersection coordinates of the node and the edge and the name coordinates of the edge; finally, rendering the nodes and the edges by utilizing d3. Js to obtain a visual knowledge graph. According to the method, the defect that in the prior art, the knowledge graph triad cannot be converted into the visualized relation graph is overcome, the knowledge graph triad can be converted into the relation graph, the capacity of visually analyzing the problem through the relation graph can be achieved, and information contained in the knowledge graph is more visually and completely expressed.

Description

technical field [0001] The invention belongs to the technical field of knowledge map visualization, and more specifically relates to a knowledge map visualization method based on mechanical principles. Background technique [0002] In November 2012, Google first proposed the concept of Knowledge Graph (KG), saying that it would add the function of knowledge graph to its search results. Its original intention is to improve the capabilities of search engines and enhance users' search quality and search experience. According to statistics in January 2015, the KG built by Google already has 500 million entities and about 3.5 billion entity relationship information, which has been widely used to improve the search quality of search engines. Although the concept of Knowledge Graph is relatively new, it is not a new research field. As early as 2006, BernersLee proposed the idea of ​​linked data, calling for the promotion and improvement of related technical standards such as URI ...

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): G06F16/34G06F16/36G06F16/28
CPCG06F16/34G06F16/367G06F16/288Y02D10/00
Inventor 杨成彪汪洋吴刚
Owner 南京柯基数据科技有限公司