Language Tag Management via Reference Metadata
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Solution Overview
Problem
Existing systems face challenges in managing and updating language tags in international data storage, leading to inconsistencies and difficulties in data management and information retrieval due to changes in language tags over time.
Innovation Solution
A method and system for language tag management that involves accessing a standardized language tag repository to identify changes, analyzing records for inconsistencies, and applying a language tag update policy to re-categorize data using new language tags while maintaining record integrity, either by replacing old tags or creating reference metadata.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If language tags are updated to match repository standards, then data consistency is improved, but record integrity may be compromised
Solution Approach 1:
The patent introduces reference metadata as an intermediary layer between the original data records and the standardized language tags. This reference metadata stores the mapping relationships without modifying the original records, thereby achieving data consistency while preserving record integrity. The intermediary allows the system to enforce standardization policies without directly altering source data.
2Productivity
If language tags are replaced with standardized tags, then information retrieval is improved, but data transformation complexity increases
Solution Approach 1:
The patent creates reference metadata copies that contain the standardized language tag mappings rather than directly transforming the original data records. This copying approach simplifies the transformation process by working with metadata representations rather than the full data structures, reducing complexity while maintaining retrieval effectiveness.
3Reliability
If language tag updates are applied to all records, then data standardization is improved, but processing time increases
Solution Approach 1:
The patent applies language tag updates selectively through language tag update policies that determine which records require standardization. Rather than processing all records uniformly, the system identifies and processes only those records that need updating based on their language tag consistency with repository standards, reducing overall processing time while maintaining standardization quality.
Data Source
AI summary
A technique for language tag management includes accessing a standardized language tag repository to identify changes in standardized language tags. Records of a data source are analyzed to determine whether they contain language tags inconsistent with the standardized language tags. If so, a determination is made whether a language tag update policy indicates an action preserving an integrity of the record. If so, reference metadata is created based on the standardized language tags and the reference metadata is linked to the record while maintaining the record intact with the inconsistent language tag.


