Knowledge-Driven Metadata Collection for Consistent Content Markup
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Solution Overview
Problem
Conventional content management systems lack a standardized approach for defining, organizing, retrieving, and presenting metadata, leading to inefficiencies in content classification, management, and distribution, and fail to maintain metadata integrity, which hinders effective filtering and syndication of content.
Innovation Solution
A system and method for enhanced metadata collection that involves determining metadata fields, acquiring and structuring metadata, and outputting content objects with optimized markup formats, utilizing a knowledge structure and inference engine to intelligently manage and adapt to evolving metadata standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional content management systems use plugins and standards to classify and distribute content, then content management functionality is provided, but there is no agreed-upon standard for metadata definition, organization, retrieval, and presentation
Solution Approach 1:
The patent creates a universal metadata schema that can be applied across different content types and management systems. The schema defines standardized metadata fields, data types, and relationships that work universally for classifying, organizing, retrieving, and presenting various content objects, eliminating the need for multiple proprietary standards
Solution Approach 2:
The patent transforms metadata from unstandardized, system-specific variations into a standardized parameter structure with defined data types, constraints, and relationships. This parameter standardization enables consistent metadata definition, organization, and retrieval across different content management systems
2Reliability
If conventional content management systems manage content without standardized metadata, then basic content storage is achieved, but metadata integrity is not maintained
Solution Approach 1:
The patent implements validation rules and constraints within the metadata schema that automatically check metadata integrity. The system provides feedback when metadata不符合 standards, ensuring data quality and consistency while maintaining efficient content management operations
Solution Approach 2:
The patent establishes metadata schemas and validation rules in advance before content management operations begin. This preliminary structuring of metadata requirements ensures integrity is maintained from the start, preventing issues rather than correcting them later
3Ease of operation
If conventional content management systems lack sufficient content-associated metadata, then simple content storage is possible, but effective filtering and syndication cannot be achieved
Solution Approach 1:
The patent segments metadata collection into distinct, organized fields with specific purposes. The schema divides metadata into categories such as descriptive, structural, and administrative metadata, making collection systematic and manageable while enabling effective filtering and syndication
Data Source
AI summary
Enhanced metadata with optimized output. In an embodiment, a content object is received. First metadata to be associated with the content object is determined. At least one metadata field to be acquired is determined based on an association, within a stored knowledge structure, of the at least one metadata field with the first metadata. Second metadata to be associated with the content object is acquired based on the at least one metadata field. A metadata structure and markup format for the content object are determined. The metadata structure incorporates both the first metadata and the second metadata. The content object is output with the metadata structure and in the markup format.