Content Management System Semantic Mapping for Cross-App Compatibility
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Solution Overview
Problem
Collaborative editing of documents across different applications often results in data loss or formatting issues due to incompatible file formats, hindering seamless collaboration between users.
Innovation Solution
A content management system that determines all necessary semantic components and properties for a given application scenario, maps operations to these components, and transforms content to ensure semantic equivalence across different formats, allowing for seamless collaboration and preservation of data and formatting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If document transformation is performed between different applications, then the document can be opened by the second application, but data loss or formatting loss occurs
Solution Approach 1:
The patent introduces an intermediary transformation system that converts documents between different application formats while preserving semantic equivalence. This mediator maintains the relationship between source and target formats, ensuring that the transformed document retains the same meaning and structure as the original, thereby preventing data loss during cross-application compatibility transformations.
Solution Approach 2:
The system changes the format parameters of the document while maintaining its semantic properties. By systematically transforming parameters such as file format, encoding, and structural elements while preserving the core content and meaning, the system achieves cross-application compatibility without information loss.
2Adaptability or versatility
If document transformation is performed between different applications, then the document can be opened by the second application, but formatting loss occurs
Solution Approach 1:
The transformation system acts as a precise intermediary that carefully maps formatting elements from the source application to the target application. It maintains formatting precision by establishing accurate correspondences between different format specifications, ensuring that visual presentation and structural formatting are preserved during the transformation process.
Solution Approach 2:
The system performs preliminary analysis of the source document's formatting structure before transformation, identifying all formatting elements that need to be preserved. This preliminary action allows the system to pre-plan the transformation strategy, ensuring that formatting precision is maintained by addressing all formatting requirements before the actual transformation occurs.
3Reliability
If semantic equivalence is maintained during transformation, then collaboration quality improves, but transformation complexity increases
Solution Approach 1:
The patent segments the transformation process into distinct modular components: semantic analysis, structure mapping, format conversion, and validation. Each module handles a specific aspect of the transformation, making the overall complex process manageable and maintainable while ensuring semantic equivalence is preserved throughout the transformation pipeline.
Solution Approach 2:
The transformation system is designed as a universal platform that can handle multiple application formats and document types through a common architecture. This multi-functional design achieves semantic equivalence across different applications while managing complexity by reusing the same core transformation mechanisms for various format conversions.
Data Source
AI summary
A method may include receiving an input at design time specifying an application to support and receiving an input describing an application user scenario to support. The method may also include determining all possible semantic components required to support the application user scenario and determining all possible properties for the semantic components. The method may also include determining all possible operations in the application necessary to achieve the application user scenario. The method may also include mapping each operation to the semantic components and each property for the semantic components.