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ADnEV: Cross-Domain Schema Matching using Deep Similarity Matrix Adjustment and Evaluation

Summary: ADnEV: deep-learning post-processing for schema matching that adjusts similarity matrices to recalibrate matcher outputs. Two models iteratively refine and evaluate the matrix, enabling cross-domain generalization and improved ontology alignment on challenging schemata. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12051
Venue
VLDB
Year
2020
Pagerank
4.6961059e-05
Overall Rank
7,613 | 47.04%
DOI
10.14778/3397230.3397237

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