Ground Truth Curation via Provenance Interface
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Solution Overview
Problem
Existing predictive data modeling platforms lack an efficient method for users to curate ground truths in a targeted manner, which hinders the improvement of predictive models and results in inaccurate predictions.
Innovation Solution
A user interface is provided that allows users to modify ground truth datasets based on provenance and explanation data, enabling users to iteratively improve predictive models by excluding incorrect or irrelevant relations, thereby enhancing prediction accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users are provided with direct access to modify ground truth datasets, then prediction accuracy is improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary layer between users and the ground truth dataset, consisting of a user interface with predefined operations and provenance information display. This intermediary guides users through structured modification processes, allowing accurate ground truth curation while maintaining system manageability and reducing complexity.
Solution Approach 2:
The system enables users to directly service the ground truth dataset through the interface, allowing them to review provenance information and perform modifications themselves. This self-service approach improves prediction accuracy through targeted user expertise while avoiding the need for complex automated curation systems.
2Productivity
If provenance information is provided to users, then ground truth curation efficiency is improved, but information processing requirements increase
Solution Approach 1:
The patent extracts and displays only the relevant provenance information needed for curation decisions, rather than presenting the complete raw data. This selective extraction improves curation efficiency by focusing user attention on critical evidence while reducing the overall information processing burden.
Solution Approach 2:
The system provides partial provenance information - sufficient for making curation decisions but not exhaustive. This partial action approach delivers the necessary evidence for efficient ground truth modification without overwhelming users with complete data processing requirements.
Data Source
AI summary
A method, system, and computer program product for a data modelling platform to engage with a user via a user interface is provided. A predictive data model is displayed based on the user query. Provenance and evidence is provided based on a user selected result. The ground truth dataset is modified in response to receiving a user action via the user interface.