Metadata Enrichment via Cross-Device Attribute Addition
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Solution Overview
Problem
Conventional content storage systems are limited in providing a wide range of referable information about digital contents, as they primarily focus on metadata related to the capture situation, lacking additional relevant details.
Innovation Solution
A content storage processing system that includes a content storage unit, metadata storage unit, content specification reception unit, original metadata extraction unit, relevant metadata search unit, and attribute information addition unit, which allows for the extraction and enrichment of metadata by adding attribute information from one metadata to another, providing a broader range of information related to the content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If only capture situation metadata is stored for each content, then the storage system maintains simplicity and fast access, but the range of referable information about the content is limited
Solution Approach 1:
The metadata is segmented into multiple hierarchical levels: basic metadata (capture situation), intermediate metadata (related content information), and advanced metadata (comprehensive related information). This segmentation allows the system to provide rich information while maintaining organized, manageable structures that don't overwhelm the storage or retrieval processes.
Solution Approach 2:
The patent introduces a dimensional expansion by adding metadata levels beyond the traditional single-level capture information. By creating multiple metadata dimensions (basic, intermediate, advanced) that can be selectively applied, the system enriches information availability without linearly increasing complexity at each level.
2Loss of information
If comprehensive relevant information is collected and stored for all contents, then the information richness is maximized, but the storage time and processing complexity increase
Solution Approach 1:
The system performs preliminary organization of metadata into standardized hierarchical structures during content ingestion. Related contents are pre-identified and categorized, so that when information retrieval is needed, the pre-processed metadata can be quickly accessed without requiring complex real-time analysis, thus reducing processing time while maintaining information completeness.
Solution Approach 2:
The metadata system is designed to be dynamic and adaptive. The level of metadata detail retrieved can be adjusted based on user needs and system resources. The system can selectively provide basic, intermediate, or advanced metadata levels, allowing flexible balance between information completeness and processing time requirements for different operational contexts.
Data Source
AI summary
A content storage device is in a content storage processing system, which includes a plurality of content storage devices connect to one another via a network. The content storage device transmits metadata corresponding to a specified original content and collects metadata that is relevant to the metadata corresponding to the original content from other content storage devices. The content storage device adds information included in the collected metadata to the metadata corresponding to the original content to enrich information included in the metadata corresponding to the original content.


