Scoring Data Values via Enterprise Glossary Curation
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Solution Overview
Problem
In computing environments, users face challenges in understanding specialized business terminology due to the lack of effective tools for clarifying the meaning of terms within enterprise glossaries, leading to confusion and inefficiencies in data searches.
Innovation Solution
A system that utilizes a processor to query an enterprise glossary, identify curation parameters, and assign scores to data values associated with terms, presenting the most relevant data values to users to aid in understanding the intended meaning of terms, such as geographic granularity in a given context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users search for terms in enterprise glossary without scoring mechanism, then all data values are returned, but users cannot identify the most relevant data values efficiently
Solution Approach 1:
The system changes the parameter of data value presentation by introducing a scoring mechanism that transforms all data values into ranked results based on curation parameters. This allows users to quickly identify the most relevant data values without manually evaluating each one, thereby improving relevance identification accuracy while reducing time loss.
Solution Approach 2:
The system replaces the manual mechanical process of evaluating data value relevance with an automated computational scoring system. The processor automatically queries the enterprise glossary, retrieves curation parameters, calculates scores, and ranks data values, substituting human cognitive effort with efficient computational operations.
2Loss of information
If the system presents detailed curation parameters for each term, then user understanding improves, but the complexity of information presentation increases
Solution Approach 1:
The system extracts only the most relevant curation parameters (such as data quality scores, completeness indicators, and source reliability) from the full set of available parameters. By selecting and presenting only the most important parameters rather than all parameters, the system maintains term definition clarity while reducing information presentation complexity.
Solution Approach 2:
The system applies different levels of detail to different data values based on their relevance scores. High-scoring data values receive more detailed parameter presentations, while lower-scoring values receive simplified presentations. This local differentiation optimizes the balance between information completeness and presentation complexity.
3Measurement precision
If the system queries enterprise glossary for each term to get curation parameters, then scoring accuracy improves, but the processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-querying the enterprise glossary for curation parameters when data values are first registered or when terms are frequently accessed. This preliminary retrieval stores parameter information in cache or temporary storage, allowing subsequent scoring operations to proceed faster without repeated glossary queries, thus maintaining accuracy while improving processing throughput.
Solution Approach 2:
The system dynamically adjusts its querying strategy based on usage patterns. For frequently accessed terms, it maintains cached curation parameters to speed up processing. For less frequent terms, it performs full queries only when necessary. This dynamic approach optimizes the balance between scoring accuracy and processing productivity by adapting to actual system workload.
Data Source
AI summary
Text including at least a first term can be presented on a display. An enterprise glossary can be queried to identify at least a first curation parameter assigned to the first term. A first score can be determined for the first term based, at least in part, on the first curation parameter assigned to the first term. The first score can be assigned to a first data value. The first data value can be presented on the display.