XML-Based Visualization Framework for Multidimensional Data Correlations
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Solution Overview
Problem
Current information visualization systems lack an integrated approach to visually analyze various information types, failing to effectively address the complexities of relationships within large, diverse data sets.
Innovation Solution
A system that employs a common XML-based information model to capture multiple types of relationships among disparate information kinds, generating interactive graphical representations for analytical purposes, including plane and line representations, nodes, and links to show correlations, and multi-dimensional glyphs for text documents to convey conceptual content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple visualization techniques are used for different information types, then comprehensive analysis capability is improved, but system complexity increases
Solution Approach 1:
The patent implements a unified visualization framework that can handle multiple information types (structured data, text documents, hierarchical structures, web data) through a common XML-based information model. This allows a single system to perform diverse visualization functions without requiring separate specialized systems for each data type, thereby improving versatility while controlling complexity.
Solution Approach 2:
The system segments different information types into distinct visualization modules (structured data visualization, text visualization, hierarchy visualization, web visualization) that can be independently developed and maintained. Each module processes specific data types through dedicated techniques while sharing common infrastructure, balancing specialization with system coherence.
2Loss of information
If detailed visual representations are generated for large data sets, then information comprehension is improved, but processing time increases
Solution Approach 1:
The patent employs sampling techniques where representative subsets of large data sets are selected for detailed visualization. Instead of processing every single data point, the system identifies and visualizes key patterns and trends from representative samples, maintaining information comprehension while significantly reducing processing time.
Solution Approach 2:
The system transforms complex multi-dimensional data into visual representations by adding spatial dimensions. Data points are projected into 2D or 3D spaces where relationships become visually apparent, allowing rapid comprehension of large data sets without exhaustive processing of all dimensional combinations.
3Loss of information
If complex relationships among diverse data types are visualized, then analytical depth is improved, but visualization complexity increases
Solution Approach 1:
The patent introduces an XML-based information model as an intermediary layer between diverse data sources and visualization techniques. This standardized intermediate representation simplifies the handling of complex relationships by providing a unified structure that captures semantic relationships across different data types, reducing visualization complexity while maintaining analytical depth.
Solution Approach 2:
The system implements nested visualization structures where complex relationships are displayed through hierarchical nesting. Multiple levels of data organization are visualized with smaller visual elements nested within larger contextual structures, allowing detailed relationship analysis while maintaining overall structural clarity and avoiding overwhelming visualization complexity.
Data Source
AI summary
A method of displaying correlations among information objects comprises receiving a query against a database; obtaining a query result set; and generating a visualization representing the components of the result set, the visualization including one of a plane and line to represent a data field, nodes representing data values, and links showing correlations among fields and values. Other visualization methods and apparatus are disclosed.