Knowledge graph visualization method based on force guidance

Abstract

The invention provides a knowledge graph visualization method based on force orientation. The knowledge graph visualization method comprises the steps: knowledge graph data extraction which comprises knowledge graph construction and knowledge graph query; constructing of a graph data structure: performing graph data structure format conversion on related nodes and relationships obtained by querying the constructed knowledge graph; force-oriented algorithm layout: randomly initializing coordinates of all nodes in a screen, taking nodes as electrons, so that repulsive force exists among the nodes, taking the relation as a spring, so that gravitation exists between the nodes, carrying out iteration for n times under the action of repulsive force and gravitational force, finally achieving a balance state, and obtaining stable coordinates of all nodes; visual presentation: according to the stable coordinates of all the nodes, respectively drawing the nodes and connecting lines among the nodes to obtain a final knowledge graph; and visual interaction of the operation process: binding a monitoring event for each node and relation through the final knowledge graph, so that a user can operate the nodes and the relations through a mouse.

Description

technical field [0001] The present application relates to the field of knowledge graph visualization, in particular to a force-oriented knowledge graph visualization method. Background technique [0002] The knowledge graph itself is a way of storing and organizing knowledge. Visualization can help people understand the internal topology of the knowledge graph. There is always an important problem in the current analysis of the knowledge map, that is, when analyzing the knowledge map, people only see the input and output, and they are invisible to the intermediate operation process. Therefore, the use of visualization methods can help people see clearly. From the entire analysis process to the knowledge map, it helps users better discover the hidden information in the knowledge map and deepen their understanding of abstract network data. [0003] Visualization technology can help people understand data more intuitively. In knowledge map visualization, the existing technolog...

AI Technical Summary

Problems solved by technology

[0006] The problem in the existing technology is that the goal of most knowledge graph visualization methods is to only display the network topology of the knowledge graph. The visualization of this topology can help people understand the internal data structure of the knowledge graph to a certain extent, but it cannot Show a more complex analysis process for the knowledge map, resulting in only the input and output being seen in the analysis of the knowledge map, and the invisible problem of the internal operation process still exists

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