Graph Database Visualization for Code-Free Relationship Exploration
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Solution Overview
Problem
Existing data manipulation and visualization technologies, particularly in graph databases, struggle to effectively explore and manipulate relationships within data without requiring complex queries or code, making it difficult for users to locate relevant information and encode new associations.
Innovation Solution
Graph database manipulation systems that generate visual representations of graph databases from a source node perspective, allowing recursive location and manipulation of related nodes and edges based on edge metadata, with capabilities for permission management and integration with external data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If complex queries or code are used to explore and manipulate graph database relationships, then data manipulation capability is improved, but ease of operation deteriorates
Solution Approach 1:
The patent introduces a visual interface as an intermediary between the user and the graph database manipulation operations. This interface allows users to explore and manipulate relationships through graphical representations and visual interactions rather than requiring complex queries or programming code, thus maintaining data manipulation capability while significantly improving ease of operation
Solution Approach 2:
The patent replaces the mechanical system of text-based queries and code with a visual interaction system. Users can explore graph relationships, locate nodes, and manipulate data structures through visual elements and graphical operations, substituting the traditional code-based approach with an intuitive visual interface that maintains functionality while improving accessibility
2Ease of operation
If visual representations are generated from source node perspective with recursive location of related nodes, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent segments the graph database visualization into hierarchical levels based on the source node perspective. Related nodes are organized in recursive generations (directly connected nodes, nodes connected to those nodes, and so on), allowing the complex graph to be divided into manageable visual segments that can be explored incrementally, thus improving ease of operation while managing system complexity through structured organization
Solution Approach 2:
The patent implements a nested structure where the visualization of related nodes is recursively embedded within the source node perspective. Each level of related nodes contains further nested levels, creating a hierarchical nesting pattern that allows complex graph relationships to be visualized in an organized manner, improving user interaction while systematically managing the complexity through recursive nesting
Data Source
AI summary
Systems and methods for visualizing and manipulating graph databases in accordance embodiments of the invention are disclosed. In one embodiment of the invention, a graph database manipulation device including a processor and a memory configured to store a graph database manipulation application, wherein the graph database manipulation application configures the processor to obtain a graph database, wherein the graph database includes a set of nodes and a set of edges, identify a region of interest within a graph described by the graph database, construct a feature space from the region of interest, and extract explanatory variables from the feature space.