BDIViz in Action: Interactive Curation and Benchmarking for Schema Matching Methods
Abstract
Schema matching remains fundamental to data integration, yet evaluating and comparing matching methods is hindered by limited benchmark diversity and lack of interactive validation frameworks. BDIViz, recently published at IEEE VIS 2025, is an interactive visualization system for schema matching with LLM-assisted validation. Given source and target datasets, BDIViz applies automatic matching methods and visualizes candidates in an interactive heatmap with hierarchical navigation, zoom, and filtering. Users validate matches directly in the heatmap and inspect ambiguous cases using coordinated views that show attribute descriptions, example values, and distributions. An LLM assistant generates structured explanations for selected candidates to support decision-making.
Fields of Study & Subjects
Data Quality and Management
Data Visualization and Analytics
Artificial Intelligence in Games
Publication details
- Journal / source
- Companion of the International Conference on Management of Data
- Publisher
- ACM
- Pages
- 138–141
- Publication date
- 26 May 2026