Knowledge graph 3D visualization method based on unity 3d

Abstract

The invention discloses a 3D visualization method for a knowledge graph based on unity 3d. The 3D visualization method comprises the following steps: a) initializing a camera, a sky box and a scene; b) acquiring triple data; c) creating a prefabricated body and organizing a three-dimensional physical structure; d) constructing a three-dimensional mechanical model; e) carrying out frame circulation; f) adopting an immersive camera script; g) adopting a global camera script; h) carrying out attribute information display and UI drawing; i) adopting a retrieval function and a transmission function; and j) switching the immersion view and the global view. The knowledge graph 3D visualization method based on unity 3d has good transportability and expandability, can be published to various platforms such as web, mobile phones and PCs, and does not have high dependence on the platforms after being developed like technologies such as WebGL; on the other hand, the method can be conveniently expanded to emerging display technologies such as virtual reality and augmented reality in the future, and wider, more immersive and more interactive knowledge graph 3D visualization is achieved.

Description

technical field [0001] The present invention relates to a 3D visualization method of a knowledge map, and more specifically, to a 3D visualization method of a knowledge map based on unity3d. Background technique [0002] With the continuous exploration and development of knowledge graph technology and the increasing status of knowledge graph in artificial intelligence, the visualization technology of knowledge graph has become a research hotspot in recent years. At present, the visualization of knowledge graphs mainly has two development directions: one is the visualization of scientific knowledge graphs based on Citespace, which has the characteristics of complex display information, numerous node relationships, and relatively fixed forms; the other is generalized knowledge graphs Visualization, this type of visualization method mostly uses nodes and relationships as input data, and automatically rearranges the layout of nodes and edges in a force-directed graph until the e...

AI Technical Summary

Problems solved by technology

Although this method performs well on web browsers, it is difficult to extend to other platforms, and it cannot effectively utilize the powerful performance of hardware, especially graphics cards, like traditional client applications. It is easy to cause obvious problems when the number of entities and relationships increases sharply. Stuck or even crashed

In addition, WebGL, as a new native rendering technology, has complex development, high maintenance costs, poor scalability, and it is difficult to achieve secondary customization and some cool display effects.

[0008] (4) This scheme does not take into account the impact of the increase in the number of entities and relationships under big data on performance, and there is no effective optimization scheme, which can only be applied to small-scale 3D visualization of knowledge graphs

In a narrow display range, it is difficult to effectively and friendly display all the necessary information in the map is an inevitable problem

Although there is a zoom mechanism, the detailed display after partial zoom-in will inevitably lead to display loss in other areas, which is also an unavoidable problem

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