Visual Content Relationship Hierarchy for Automated Organization
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Solution Overview
Problem
Traditional methods for organizing electronic content are inefficient and lack an intuitive mechanism to visually relate and organize content based on identified characteristics, limiting their capabilities in forming relationships between similar content.
Innovation Solution
A method and system that analyze electronic content to identify characteristics and visually relate them using a relationship hierarchy on a graphical user interface, allowing for automated and efficient organization and grouping of content, enabling simultaneous collaboration across computing devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual review and grouping of electronic content is performed, then content can be organized based on personal criteria, but the process is time-consuming and inefficient
Solution Approach 1:
The system performs automatic content analysis and relationship formation without requiring manual user intervention. The processor automatically analyzes electronic content, identifies characteristics, and forms relationships based on the relationship hierarchy, allowing the system to serve itself rather than requiring continuous user input for organization tasks
Solution Approach 2:
The patent replaces the mechanical manual review process with an automated computational system. Instead of manually examining and grouping content, the system uses automated analysis to identify characteristics and form relationships, substituting human cognitive and manual operations with computational processes
2Adaptability or versatility
If traditional folder-based organization is used, then content can be grouped by simple criteria, but the system lacks capability to visually relate and organize content by applying relationship hierarchy
Solution Approach 1:
The patent transitions from traditional single-dimension folder-based organization to a multi-dimensional relationship hierarchy system. Content can be organized and related across multiple dimensions simultaneously (e.g., temporal relationships, spatial relationships, hierarchical relationships), allowing versatile organization without proportionally increasing system complexity through the use of visual relationship indicators
3Productivity
If automated content analysis is implemented, then content can be quickly organized, but the system becomes more complex
Solution Approach 1:
The automated analysis system is segmented into distinct functional components: a content analysis module that identifies characteristics, a relationship determination module that applies the relationship hierarchy, and a visual presentation module that displays relationships. This segmentation allows the system to achieve high productivity through automation while managing complexity by dividing functions into separate, manageable modules
Data Source
AI summary
Methods and systems are discussed for visually forming relationships between electronic content. Electronic content from a computing device may be received. The electronic content may be displayed on a graphical user interface. The received electronic content may be analyzed to identify characteristics of the electronic content. The received electronic content may be visually related to previously received electronic content on a graphical user interface. The received and the previously received electronic content may be visually related by applying a relationship hierarchy to the identified characteristics.