Multi-dimensional Virtual Lattice for Content Artifact Extraction
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Solution Overview
Problem
In online collaborative authoring and customized publishing environments, there is a need for effective content management solutions that leverage user context and provide relevant information to community members, including association and extraction of content artifacts from graphical representations of electronic content, while minimizing user interaction.
Innovation Solution
A computer-implemented method and system that creates a multi-dimensional virtual lattice using predefined content criteria, graphically represents electronic content, and allows for the extraction of content artifacts based on user-provided search criteria by matching metadata within the lattice.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content artifacts are manually cataloged and organized using traditional online cataloging techniques, then content can be organized using taxonomy-based hierarchical categories, but user interaction time and manual effort increase significantly
Solution Approach 1:
The system enables self-service content organization by automatically analyzing electronic content, extracting metadata, and placing content artifacts into the multi-dimensional virtual lattice without requiring manual user intervention for cataloging and organization tasks
Solution Approach 2:
The system performs preliminary actions by pre-processing electronic content to extract metadata and establish relationships before user queries are submitted, so that when users search or browse, the content is already organized and ready for immediate retrieval
2Reliability
If a multi-dimensional virtual lattice is created to represent electronic content with multiple metadata dimensions, then content associations become more accurate and comprehensive, but system complexity increases
Solution Approach 1:
The system segments the complex content organization task into multiple independent grid layers, each representing a specific metadata dimension (e.g., subject, author, date), allowing the multi-dimensional virtual lattice to be constructed from simpler, manageable components
Solution Approach 2:
The multi-dimensional virtual lattice itself acts as an intermediary structure that simplifies complex content relationships by providing a standardized framework for organizing and querying content across multiple metadata dimensions without requiring complex custom logic for each query type
3Measurement precision
If content artifacts are extracted based on multiple metadata criteria from the virtual lattice, then extraction precision and relevance improve, but processing time increases
Solution Approach 1:
The system performs preliminary indexing and metadata extraction when content is first added to the virtual lattice, organizing content by multiple metadata dimensions in advance, so that subsequent extraction operations can quickly retrieve pre-organized content without performing complex analysis at query time
Data Source
AI summary
A computer implemented method and system is provided for associating and extracting content artifacts from a graphical representation of electronic content. A multi-dimensional virtual lattice comprising one or more grid layers is created. The nodes of the multi-dimensional virtual lattice represent metadata acquired from predefined content criteria. Electronic content comprising content artifacts acquired from multiple content sources is graphically represented within the multi-dimensional virtual lattice using the grid layers. Each of the content artifacts from the electronic content attaches to one or more nodes of the multi-dimensional virtual lattice. A user provides search criteria comprising keywords. The content artifacts attached to nodes of the multi-dimensional virtual lattice whose metadata matches with the keywords are extracted and displayed to the user. The graphical representation of electronic content in the multi-dimensional virtual lattice is used to associate, extract, composite, project, and organize the content artifacts acquired from the content sources.