Hierarchical data and graph data visualization technology based knowledge forest layout method

Abstract

The invention relates to a hierarchical data and graph data visualization technology based knowledge forest layout method. The hierarchical data and graph data visualization technology based knowledge forest layout method comprises the steps of firstly obtaining data of an instantiated knowledge theme faceted tree and data of knowledge fragments, and realizing drawing of the instantiated knowledge theme faceted tree through a Bezier curve instantiation based knowledge theme faceted tree drawing algorithm by utilizing the data; abstracting the drawn instantiated knowledge theme faceted tree into a node v, abstracting a cognitive relation between knowledge themes into a side e, abstracting a knowledge forest into a graph G (V, E), wherein G represents the knowledge forest, V represents a collection of v, and E represents a collection of e; and realizing integral layout of the knowledge forest G and displaying a community structure, and finishing the hierarchical data and graph data visualization technology based knowledge forest layout. By combining with the hierarchical data and graph data visualization technology, the hierarchical data and graph data visualization technology based knowledge forest layout method realizes layout of the instantiated knowledge theme faceted tree and layout of the knowledge forest, and supports visualization of the knowledge theme faceted tree and the cognitive relation.

Description

[0001] 【Technical field】 [0002] The invention relates to the field of data visualization, in particular to a knowledge forest layout method based on hierarchical data and graph data visualization technology. [0003] 【Background technique】 [0004] The rapid development of science and technology has led to an increasingly serious phenomenon of knowledge explosion. Multi-source, one-sided and disordered knowledge fragments have exacerbated the problem of human cognitive overload and learning lost. Knowledge forest is a brand-new knowledge aggregation model, which can aggregate knowledge fragments into a form that conforms to the characteristics of human cognition, and alleviate the above problems. However, the knowledge forest has a huge amount of data and complex structure, and it is difficult for users to directly understand it. It is necessary to apply data visualization related technologies to realize its visual display. [0005] The knowledge forest contains not only a l...

AI Technical Summary

Problems solved by technology

[0008] In the patented technical solution of the above hierarchical data visualization method, the visualization result is a radial ring, which is not the shape of a tree in nature, and cannot visually display the elements of each level of the faceted tree of knowledge topics

However, the general hierarchical data visualization results are either node connection graphs or space filling graphs, which cannot realize the visualization of knowledge topic facet trees.

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