Hierarchical Data Organization Structure for Dynamic Document Navigation
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Solution Overview
Problem
Manual organization of documents in electronic systems becomes inefficient over time due to the dynamic addition and removal of files, leading to disorganization and increased navigation complexity.
Innovation Solution
An automated system using natural language processing and metadata analysis generates and updates a hierarchical data organization structure, dynamically rebalancing the structure based on document content and metadata to optimize navigation and presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If manual organization of documents is used, then initial hierarchical structure can be established, but the structure becomes outdated and inefficient over time as documents are added and removed
Solution Approach 1:
The patent implements dynamic hierarchical structure generation that automatically adapts to document additions and removals. The system continuously analyzes document metadata and frequencies to reorganize the hierarchical structure, transforming the static manual organization into a dynamic self-updating system that maintains optimal organization without user intervention.
Solution Approach 2:
The system performs self-service by automatically generating and updating hierarchical structures based on document content analysis. Instead of requiring manual user intervention to maintain organization, the system autonomously processes document metadata, calculates frequencies, and reorganizes categories to reflect current document collections.
2Ease of operation
If user manually maintains hierarchical structure, then initial organization is achieved, but navigation complexity increases over time
Solution Approach 1:
The patent replaces the mechanical manual organization process with an automated computational system. Instead of users manually creating and maintaining hierarchical structures, the system uses natural language processing and frequency analysis to automatically generate optimized hierarchical organizations, eliminating the time loss associated with manual maintenance.
Solution Approach 2:
The system performs preliminary action by proactively generating hierarchical structures based on document frequencies before users need to navigate. By continuously analyzing document collections and pre-organizing them into optimal hierarchical structures, the system ensures navigation efficiency is maintained without requiring users to spend time reorganizing after document changes.
3Productivity
If automated hierarchical generation is implemented, then navigation efficiency is optimized, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary organization service that bridges the gap between simple file storage and complex manual organization. This intermediary layer automatically analyzes document metadata and generates hierarchical structures, providing navigation efficiency without exposing system complexity to users. The intermediary handles the computational complexity internally while presenting simple organized results.
Solution Approach 2:
The system creates simplified copies of the document collection in hierarchical form. Instead of directly managing the complexity of the full document set, the system generates hierarchical representations (folders and categories) that copy and reflect the organizational patterns in the documents, making navigation efficient while keeping the underlying system complexity manageable.
4Measurement precision
If hierarchical structure is frequently updated to adapt to document changes, then organization accuracy is maintained, but processing overhead increases
Solution Approach 1:
The patent implements periodic action by updating hierarchical structures based on document frequency changes rather than continuously. The system monitors document additions and removals, and triggers hierarchical regeneration when frequency thresholds are met or at scheduled intervals. This periodic approach maintains organization accuracy while reducing processing overhead compared to continuous updates.
Data Source
AI summary
Systems and methods are provided for generating organization data for an efficient presentation and/or organization of a collection of items. In some embodiments, the organization data may be based on metadata associated with items, such as keywords. The metadata may be generated from natural language processing of the items. Organization data and/or a hierarchical data organization may be a tree data structure that can be efficiently navigated to reach and/or locate an item. In some embodiments, organization data may be automatically updated in response to a document removal, addition, and/or a user selection. For example, as items are removed and/or added to the collection, keywords, counts, directories, nodes, and/or levels of the organization data may update and/or change to reflect the updated collection of items.