Data Set Differentiation via Segmented Identifier Schema
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Solution Overview
Problem
Existing systems struggle to differentiate between data sets with common identifiers without causing functional disruptions, as renaming files with duplicate names can affect dependent functionalities.
Innovation Solution
A method and apparatus that select data sets with common identifiers, compare them to identify differentiating characteristics, and associate difference data with each set to provide unique identifiers, using a predetermined schema for ranking and presenting the differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data sets with common identifiers are renamed to ensure uniqueness, then identification accuracy is improved, but system reliability deteriorates due to potential disruption of dependent functionalities
Solution Approach 1:
The patent segments the identification system into two parts: the original data set identifier (which maintains compatibility with existing functionalities) and an additional differentiator field (which provides unique identification). This segmentation allows both uniqueness and compatibility to coexist without disrupting dependent functionalities.
Solution Approach 2:
The patent adds a new dimension to the identification system by introducing an additional differentiator field alongside the original identifier. This dimensional expansion enables unique identification of data sets with common identifiers while preserving the original identifier structure, thus maintaining system reliability.
2Measurement precision
If data sets are differentiated by adding additional identifier information, then identification accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the identification system into the original identifier and an additional differentiator field, allowing differentiation without completely redesigning the identification system. This modular approach improves differentiation accuracy while minimizing the increase in system complexity.
Solution Approach 2:
The additional differentiator field serves multiple functions: it provides unique identification, maintains compatibility with existing systems, and enables efficient data set differentiation. This multi-functionality improves differentiation accuracy without proportionally increasing system complexity.
Data Source
AI summary
A method, apparatus and software are disclosed which enables the differentiation of two or more data sets having common data set identifiers.