Real-Time Unstructured Data Structuring via Content Wrapper
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Solution Overview
Problem
Current computing systems lack the capability to efficiently process and manage unstructured data, such as photographs, in real-time, making it difficult to search, arrange, and monetize large datasets, which poses challenges for both consumers and business entities.
Innovation Solution
A data processing system that aggregates, tags, and distributes unstructured data as structured data in real-time by separating raw content from native metadata, generating derived metadata, and combining it to form composite metadata, allowing for the storage and distribution of unstructured content as structured data using a content wrapper.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If unstructured data is stored without processing, then storage cost and infrastructure requirements are reduced, but real-time searching and arranging capability deteriorates
Solution Approach 1:
The patent segments the data processing into distinct functional components: content wrapper generation, metadata extraction, metadata enrichment, and data distribution. This segmentation allows each component to process specific aspects of unstructured data independently, improving real-time processing capability while managing system complexity through modular architecture.
Solution Approach 2:
The patent introduces a content wrapper as an intermediary structure that bridges unstructured data and structured metadata. The content wrapper serves as a mediator that organizes raw content with extracted and enriched metadata, enabling real-time access and searching without requiring complete system complexity for direct processing.
2Ease of operation
If unstructured data is processed and structured in real-time, then accessibility and search capability are improved, but infrastructure requirements and costs increase
Solution Approach 1:
The patent extracts only the necessary metadata from unstructured data using machine learning models, rather than processing the entire data volume. This extraction approach improves data accessibility for specific queries while minimizing infrastructure requirements by processing only essential data attributes rather than complete data sets.
Solution Approach 2:
The patent transforms unstructured data into structured format by changing data parameters and organization. The content wrapper structure reorganizes data parameters into standardized fields, enabling improved accessibility and search capability while maintaining manageable data volume through structured organization rather than complete data processing.
3Measurement precision
If machine learning models are used to generate metadata, then data tagging accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by pre-training machine learning models and pre-defining content wrapper structures before actual data processing. This preliminary preparation enables faster metadata generation during runtime, improving tagging accuracy through trained models while reducing processing time by avoiding real-time model training and using optimized inference processes.
Data Source
AI summary
A data processing system for aggregating, tagging and distributing unstructured data as structured data in real time and methods for manufacturing and using same. A camera for capturing photographic images is deployed at a selected event and, upon capturing an image of one or more event attendees, associates the image with native metadata. The native metadata includes attendee contact information for enabling the camera to send the image to the attendee in real time. The camera likewise sends the image and native metadata to a content processing system, which separates the raw image data from the native metadata and utilizes the native metadata to identify additional derived metadata for the image. By aggregating images from multiple events and tagging the images with the native and derived metadata, the data processing system advantageously can store the unstructured images in content wrappers as structured data for facilitating later distribution.