Sieve Diagram Visualization for Interactive Data Analysis
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Solution Overview
Problem
Existing search and retrieval systems fall short in providing users with a comprehensive view of large datasets, making it difficult to identify and analyze meaningful subsets of information, especially in research contexts where users need to sift through extensive lists of results.
Innovation Solution
A computer-implemented method for interactive visualization of data objects using a sieve diagram, where a central node represents a set of objects and topic nodes surrounding it, with graphical linkages showing relationships, allowing users to filter and search results interactively through graphical selections and Boolean queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If document results are presented as a one-dimensional list, then the system is simple to implement, but users cannot efficiently navigate and analyze large datasets
Solution Approach 1:
The patent transforms the traditional one-dimensional list of search results into a two-dimensional radial visualization (sievey diagram) where results are arranged around a central search query node. This dimensional change allows users to perceive relationships between multiple results simultaneously rather than sequentially, enabling efficient navigation and analysis of large datasets while maintaining system simplicity through the use of standard graph visualization techniques.
2Loss of information
If machine learning technologies are used to sort and rank documents, then the most useful documents are more likely at the top, but users cannot see the full breadth of available data
Solution Approach 1:
The patent merges the advantages of both traditional listing and advanced visualization by combining the central node representation of the search query with radial distribution of result nodes. This allows the system to maintain machine learning-based sorting and ranking while simultaneously displaying the full breadth of available data in a visually accessible format, eliminating the need to choose between comprehensive display and intelligent sorting.
Solution Approach 2:
The sievey diagram serves multiple functions simultaneously: it displays the complete set of search results, shows hierarchical relationships between results, enables filtering by visual selection, and maintains sorted ordering. This multi-functionality allows users to see the full data breadth while still benefiting from intelligent sorting, without requiring separate systems for each function.
3Productivity
If users must scroll and click through lists of results, then the interface is simple, but the process is time-consuming for large datasets
Solution Approach 1:
By arranging search results radially around a central query node rather than in a linear list, the system allows users to perceive and interact with multiple results simultaneously in a two-dimensional space. This dimensional change transforms the interaction model from sequential scrolling and clicking to parallel visual scanning and selection, dramatically increasing data analysis speed while keeping the interface intuitive.
Solution Approach 2:
The system pre-computes and stores the hierarchical relationships between search results and their parent queries in a structured format. This preliminary organization of data allows the visualization to be generated instantly when needed, enabling fast interactive exploration without requiring complex real-time computations during user interaction.
Data Source
AI summary
A computer-implemented method for interactive visualization of a first set of objects in relation to a second set of objects in a data collection, wherein each of the second set of objects is hierarchically structured includes parsing the first set of objects in relation to the second set of objects in order to generate a mapping between the first set of objects and the second set of objects. The method further includes causing display of a representation of the first set as a central node and a representation of the second set as a set of topic nodes surrounding the central node or surrounded by the central node, the displayed representations constituting a sieve diagram. The method also includes causing display in the sieve diagram of a set of relationships between the first set of objects and the second set of objects by providing a graphical linkage directly or indirectly between the central node and each node that corresponds to a member of the second set.