Data Glossary Maintenance via Usage Dimension Analysis
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Solution Overview
Problem
Data glossaries become increasingly complex and difficult to maintain over time without regular analysis of term usage, leading to inefficiencies in data retrieval and potential misuse of data due to unclear terminology.
Innovation Solution
A method and system that measure usage dimensions for terms in a data glossary, select candidate terms based on these dimensions, and perform maintenance actions such as deletion or improvement, using a computing environment to systematically assess and prioritize terms for maintenance actions like deletion or improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data glossaries are maintained without regular analysis of term usage, then the glossary size and complexity increase over time, but maintenance effort and difficulty increase significantly
Solution Approach 1:
The system automatically measures usage dimensions for terms and identifies candidate terms for maintenance actions without requiring manual intervention. The usage measuring algorithm autonomously analyzes term usage patterns and prioritizes terms based on measured dimensions, enabling the glossary to self-maintain and prevent unnecessary complexity accumulation.
Solution Approach 2:
The system introduces usage dimensions as measurable parameters to characterize term importance and usage patterns. By measuring and analyzing these parameters (usage dimensions), the system can objectively determine which terms require maintenance, transforming subjective maintenance decisions into data-driven automated processes that control glossary complexity.
2Reliability
If all terms in the data glossary are maintained manually, then comprehensive coverage is achieved, but time and resources required for maintenance increase
Solution Approach 1:
Instead of manually maintaining all terms in the glossary, the system applies maintenance actions only to a prioritized subset of candidate terms identified through usage dimension measurement. This partial action approach focuses resources on the most important terms while automatically handling the rest, significantly reducing maintenance time while preserving glossary reliability.
Solution Approach 2:
The system continuously measures usage dimensions for terms and uses this feedback to automatically prioritize candidate terms for maintenance. This feedback loop enables the system to adaptively identify which terms need attention based on actual usage patterns, maintaining glossary accuracy without requiring comprehensive manual review of all terms.
3Adaptability or versatility
If the data glossary grows without pruning unused terms, then terminology coverage increases, but data retrieval efficiency decreases
Solution Approach 1:
The system extracts and removes terms from the glossary based on measured usage dimensions that indicate low or no usage. By automatically identifying and extracting unused or rarely used terms through the usage measuring algorithm, the system maintains comprehensive terminology coverage for needed terms while pruning unnecessary entries that would hinder retrieval efficiency.
4Ease of operation
If manual maintenance of data glossaries is performed without systematic analysis, then maintenance can be done flexibly, but errors and inconsistencies increase
Solution Approach 1:
The system replaces manual mechanical maintenance processes with an automated usage measuring algorithm that objectively analyzes term usage patterns. This substitution eliminates human error and inconsistency in identifying which terms need maintenance, providing precise measurement of term usage dimensions while maintaining operational flexibility through automated candidate term identification.
Data Source
AI summary
A system may receive a data glossary comprising a list of terms. The system may then measure a usage dimension for a set of the terms from the list of terms. The system may select a candidate term from the set based on the usage dimension and perform a maintenance action on the candidate terms.