Structured Information Units for Multi-Lingual Data Management
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Solution Overview
Problem
Traditional information management systems face challenges in maintaining the reliability, consistency, and timeliness of information across multiple languages and versions, leading to inconsistencies and increased complexity due to the lack of integrated end-to-end documentation management.
Innovation Solution
A unified system for structured collection, management, and publication of information using Standard Generalized Markup Language (SGML) and eXtensible Markup Language (XML) technologies, which enables the storage of self-contained information units in a single source, facilitating multi-lingual output and automation of translation and formatting, while maintaining accurate context and relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional version controlled document management is used, then information can be stored and managed, but the system complexity increases and consistency across multiple versions deteriorates
Solution Approach 1:
The patent segments information into discrete, structured units with standardized schemas rather than managing monolithic documents. This segmentation allows consistent retrieval and presentation of information across different versions and languages without managing complex document hierarchies, directly resolving the contradiction between reliability and complexity.
Solution Approach 2:
The patent creates a universal information retrieval system that serves multiple functions (translation, localization, version management) through a single structured data model. This multi-functionality eliminates the need for separate version control mechanisms for each language or format, reducing system complexity while maintaining information consistency.
2Adaptability or versatility
If multiple instances of the same data are stored for different languages and versions, then flexibility is improved, but redundancy and inconsistency increase
Solution Approach 1:
Instead of storing multiple instances of the same data for different languages and versions, the patent uses structured information units that can be instantiated multiple times through standardized schemas. This allows flexible multi-lingual capability while avoiding redundancy, as the same structured unit can be retrieved and presented in different languages without duplicating the underlying data.
3Quantity of substance
If context and usage details are not stored with data, then storage efficiency is improved, but ambiguity and inconsistency in usage increase
Solution Approach 1:
The patent applies local quality by attaching specific metadata and usage details to individual structured information units rather than storing everything globally. This allows efficient storage while maintaining the necessary context and usage information at the appropriate granularity level, preventing ambiguity and ensuring consistent usage across the system.
Data Source
AI summary
A unified system for the structured collection, management, translation, and publication of multi-lingual information that is based on industry standards for information structures. Self-contained information units are stored in a single source and mapped onto a multiple dimensional data matrix in which the axes represent information types, objects, variants, and language. Linking through the matrix to a unique storage location for information facilities data entry, editing, access control, quality control, and automated publication of stored information.