Flow Rate Diagram for Knowledge Graph Visualization
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Solution Overview
Problem
Conventional methods for presenting data from knowledge graphs struggle to make relationships understandable for users without graph structure expertise, as direct graph representations can be difficult to interpret.
Innovation Solution
A related-information display device generates a flow rate diagram using Sankey diagrams, where keywords are connected to related information with bands whose width represents the strength of the relationship, allowing users to easily visualize connections without requiring knowledge graph expertise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If knowledge graph data is presented using a graph structure, then the complete relationships and connections are preserved, but the ease of understanding deteriorates for users without graph structure expertise
Solution Approach 1:
The patent introduces an intermediary representation layer that translates complex graph structure relationships into intuitive flow rate diagram visualizations. This intermediary form preserves the complete relationship information from the knowledge graph while presenting it in a visually accessible format using bands and flow rates that users can understand without graph expertise.
Solution Approach 2:
The patent transforms the representation parameters from graph-theoretical concepts (nodes, edges, connectivity) to fluid-dynamics-inspired parameters (flow rates, band widths). This parameter transformation maintains the relational information integrity while changing the visualization language to something more intuitively understandable for general users.
2Ease of operation
If a flow rate diagram with variable band widths is used to represent relationship strength, then the ease of understanding improves, but the device complexity increases
Solution Approach 1:
The patent replaces complex graph analysis mechanics with a more straightforward flow rate calculation system. Instead of requiring users to interpret graph structures, the system calculates flow rates based on relationship strength and visually represents them through band widths, substituting a complex interpretation task with a simpler visual perception task.
3Loss of information
If detailed knowledge graph relationships are visualized, then the information completeness is improved, but the difficulty of detecting and measuring relationships worsens
Solution Approach 1:
The patent employs visual encoding through band width variations (analogous to color changes in other visualizations) to represent different relationship strengths. This allows users to immediately detect and measure relationship strength through visual perception of band proportions, transforming an abstract measurement problem into an intuitive visual task.
Data Source
AI summary
A related-information display device includes: a knowledge graph DB that stores a knowledge graph holding knowledge information with a plurality of nodes and links connecting the nodes; a related-information inference unit that infers related information related to a keyword from the knowledge graph; a relatedness calculation unit calculates relatedness between the keyword and the related information; and a display-data generation unit that generates display data for displaying a flow rate diagram indicating a relationship between the keyword and the related information related to the keyword by connecting the keyword and the related information with a band, wherein the width of the band increases as the relatedness increases.