Enterprise Portal Content Analyzer for Meta-Model Consistency
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Solution Overview
Problem
The complexity of enterprise portal system content administration tools, due to uncoordinated and inconsistent changes in content structures, leads to difficulties in managing enterprise portal content, resulting in a high total cost of ownership.
Innovation Solution
A computer-implemented method and system that analyzes content objects in a repository for inconsistencies with a meta-model, provides optimization suggestions, and modifies the content objects to rectify these inconsistencies, using a content analyzer and optimization service, thereby maintaining consistency and reducing administrative costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If enterprise portal system administrators use modeling tools to describe and implement enterprise portal content structures, then the ability to define and control content structures is improved, but the complexity of administration and total cost of ownership increases
Solution Approach 1:
The system performs preliminary analysis of content objects against the meta-model to identify inconsistencies before they propagate. The content analyzer proactively detects mismatches between content objects and meta-model definitions, allowing administrators to address issues before they become problematic, thereby reducing administrative burden while maintaining structure definition capabilities
Solution Approach 2:
The system implements continuous feedback by automatically analyzing content objects and comparing them against the meta-model. Inconsistencies are reported back to administrators through the graphical user interface, enabling informed decision-making about which inconsistencies to correct. This automated feedback loop reduces the complexity of manual verification and administration
2Adaptability or versatility
If administrators manually manage content structures with many available enterprise portal content structures, then flexibility in content creation is maintained, but administration difficulty and cost increase
Solution Approach 1:
The content analyzer performs self-service by automatically identifying inconsistencies between content objects and the meta-model without requiring manual intervention. The system autonomously analyzes content structures, detects mismatches, and presents optimization suggestions, freeing administrators from manual verification tasks while preserving their ability to make informed decisions about content structure management
Solution Approach 2:
The system replaces manual administrative mechanics with automated computational analysis. Instead of administrators manually checking each content object against the meta-model, the content analyzer service automatically performs this comparison using computer-implemented methods, significantly reducing the operational effort required while maintaining administrative control and flexibility
3Duration of action of moving object
If content objects are frequently added, changed, and deleted in the enterprise portal system, then the system remains dynamic and adaptable, but inconsistencies with the meta-model increase
Solution Approach 1:
The system implements periodic analysis of content objects against the meta-model. The content analyzer can be triggered on-demand or scheduled to run at regular intervals, continuously detecting inconsistencies that arise from frequent content modifications. This periodic verification maintains meta-model consistency without preventing dynamic content changes, as administrators receive timely notifications of inconsistencies to address
Solution Approach 2:
The system performs preliminary detection of inconsistencies before they become entrenched in the content structure. By analyzing content objects proactively and presenting optimization suggestions early in the modification process, the system enables administrators to correct inconsistencies before they propagate or become difficult to resolve, thereby maintaining reliability during dynamic operations
Data Source
AI summary
The disclosure generally describes computer-implemented methods, software, and systems for optimizing enterprise portal content. One computer-implemented method includes receiving a content analysis request associated with a content repository, analyzing, using at least one computer, content objects associated with the content repository for inconsistencies with a meta-model, receiving content optimization suggestion data, modifying, by operation of at least one computer, the content repository content objects using the content optimization suggestion data, and receiving optimization status data.


