Scalable Data Scaffolds for Semantic File Understanding

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Solution Overview

Problem

File hosting services lack the ability to understand the underlying data of unstructured digital files, limiting collaboration and analysis capabilities due to their reliance on file type-specific viewers and inability to recognize meaningful relationships between files.

Innovation Solution

A data management platform that represents digital content as a semantic graph using structured data, employing universal data scaffolds to define content types, enable intelligent connections, and support zero-knowledge encryption and offers, while maintaining user privacy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If file hosting services use file type-specific viewers to display digital files, then file compatibility is maintained, but the service cannot understand the underlying data structure or meaning

Engineering Contradiction:
Improvedata structure understandingVSAvoidviewer system complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments the data representation into two independent layers: the original unstructured digital content (preserved as-is) and a new structured data scaffold layer that describes the content's meaning and structure. This allows the system to maintain compatibility with existing viewers while gaining structured data understanding through the scaffold layer.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The data scaffold acts as an intermediary between the unstructured digital content and the file hosting service's processing capabilities. The scaffold translates and describes the underlying data structure without requiring changes to the original files or existing viewers, enabling the service to understand data meaning while preserving backward compatibility.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If the service stores digital files as unstructured data, then storage simplicity is maintained, but collaboration and analysis capabilities are limited

Engineering Contradiction:
Improvecollaboration and analysis capabilityVSAvoiddata storage structure
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent creates a universal data scaffold that can represent multiple types of digital content (documents, images, videos, audio) using a common structured format. This multi-functional scaffold enables the service to provide unified collaboration and analysis capabilities across different file types without requiring separate processing systems for each content type.

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

Solution Approach 2:

The system performs preliminary action by automatically generating data scaffolds when digital content is uploaded, before the content is stored or shared. This preliminary structuring enables subsequent collaboration and analysis features to operate directly on the structured data without requiring additional processing steps later.

Inventive Principle:
Principle #10Preliminary action

3Loss of information

If the service provides intelligent data representation and analysis, then data understanding improves, but user privacy may be compromised

Engineering Contradiction:
Improvedata meaning recognitionVSAvoiduser privacy risk
Core Design Contradiction:
Loss of informationVSObject-affected harmful factors

Solution Approach 1:

The patent extracts only the necessary structural information from the digital content to create the data scaffold, separating this metadata extraction from the actual content storage. The scaffold captures relationships and structure without copying or analyzing the full content, thereby enabling data understanding while minimizing privacy exposure.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system creates a conceptual copy of the data structure through the scaffold representation rather than working with the original content. This copy allows the service to analyze, search, and collaborate on data structure and relationships without accessing or exposing the actual sensitive content, thus protecting user privacy while enabling intelligent operations.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS20250321983A1Scalable scaffolding and bundled data
Publication Date: 2025.10.16 THINKSPAN LLC
  • US20250321983A1 patent drawing
  • US20250321983A1 patent drawing
  • US20250321983A1 patent drawing

AI summary

Disclosed is a system to provide information associated with a user device from a server to the user device without disclosing the association to the server. Data structures, created at the server, contain information such as information about restaurants, mechanics, medical conditions, etc. The server creates bundles including two or more data structures containing disparate information, and a unique identifier for each bundle. The server creates a table of contents indicating the unique identifier of a bundle and the information contained in the bundle and sends the table of contents to the device. The server receives the unique identifier of the bundle and provides the bundle having the unique identifier to the device. While the bundle contains the information associated with the user device, because the bundle contains disparate information. the server does not know which information is associated with the user device.