Automatic File Sorting Using Metadata Tree Structures

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Solution Overview

Problem

Content management systems face challenges in automatically generating tags that accurately reflect the site structure and organization of webpages, leading to manual intervention and inefficiencies in content organization and updating.

Innovation Solution

A folder-based content management system that automatically analyzes file nodes, generates metadata, and constructs tree structures to organize content, enabling automatic sorting and visual arrangement without manual intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If tags are manually added by authors to content in a CMS, then content can be organized and tagged, but the process becomes tedious and prone to errors, and cannot consider the entire website content holistically

Engineering Contradiction:
Improvetag accuracyVSAvoidcontent organization efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The system automatically generates tags by analyzing the entire website content holistically, allowing the CMS to self-organize content without manual author intervention. The algorithm processes all content to create comprehensive tags that reflect the overall site structure and relationships.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The generated tags serve multiple functions: they organize content hierarchically, reflect site structure, enable automatic content grouping, and provide a foundation for automated webpage construction, replacing multiple manual processes with a single comprehensive tagging system.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Productivity

If tags are automatically added to content, then productivity increases, but the tags may not be directly related to the site structure and organization, demanding further manual intervention

Engineering Contradiction:
Improvetagging efficiencyVSAvoidtag relevance to site structure
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The system automatically analyzes the website's existing structure and relationships to generate tags that are inherently aligned with the site organization. The algorithm self-adjusts to create tags that reflect hierarchical relationships, parent-child connections, and structural patterns without manual guidance.

Inventive Principle:
Principle #25Self-service

3Reliability

If manual intervention is used to construct webpages based on tags, then webpage structure can be controlled, but the process demands constant time and effort as content is added to the CMS

Engineering Contradiction:
Improvewebpage construction controlVSAvoidtime for webpage construction
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by automatically generating comprehensive tags and organizing content into a structured hierarchy before webpage construction is needed. This pre-organization creates a ready-to-use framework that automatically adapts as new content is added, eliminating the need for constant manual webpage reconstruction.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The tag system and content organization structure dynamically adapt as new content is added to the CMS. The algorithm automatically processes new content, generates appropriate tags, and integrates it into the existing hierarchical structure, maintaining webpage construction control without requiring manual intervention for each addition.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20260030307A1Automatic sorting of file nodes
Publication Date: 2026.01.29 CACTUS BLOCK LLC
  • US20260030307A1 patent drawing
  • US20260030307A1 patent drawing
  • US20260030307A1 patent drawing

AI summary

Systems and methods are provided for automatic file sorting. A method for automatic file sorting is executed via processor based on instructions stored on non-transitory memory of the processor and includes analyzing contents of file nodes, generating metadata for each of the file nodes based on the analyzed contents, generating one or more tree structures corresponding to the file nodes based on the generated metadata, and determining a placement of the file nodes into folders of the one or more tree structures based on the generated metadata.