BDIViz in Action: Interactive Curation and Benchmarking for Schema Matching Methods

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Authors: Eden Wu, Christos Koutras, Cláudio T. Silva, Juliana Freire
Cited by: 1
References: 4

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