Tuning Schema Matching Software using Synthetic Scenarios
Summary: eTuner automatically tunes multi-component schema matchers by matching a target schema against synthetic schemas with known mappings, replacing costly domain expertise. Sequential component-level search and optional user guidance improve four systems’ real-world accuracy at negligible user cost. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mayssam Sayyadian (University of Illinois Urbana-Champaign)
- 2. Yoonkyong Lee (University of Illinois Urbana-Champaign)
- 3. AnHai Doan (University of Illinois Urbana-Champaign)
- 4. Arnon S. Rosenthal (MITRE Corporation)
BibTeX Citation
@article{sayyadian_vldb05,
title = {{Tuning Schema Matching Software using Synthetic Scenarios}},
author = {Sayyadian, Mayssam and Lee, Yoonkyong and Doan, AnHai and Rosenthal, Arnon S.},
journal = {PVLDB},
series = {{VLDB} '05},
pages = {994--1005},
year = {2005}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,505 | Generic Schema Matching, Ten Years Later | 2011 | VLDB | 0.00010454635 |
| 2,311 | STBenchmark: Towards a Benchmark for Mapping Systems | 2008 | VLDB | 8.6606108e-05 |
| 2,901 | Incremental Schema Matching | 2006 | VLDB | 7.8830583e-05 |
| 3,621 | MOMA - A Mapping-based Object Matching System | 2007 | CIDR | 7.1539025e-05 |
| 4,737 | Comparing and Evaluating Mapping Systems with STBenchmark | 2008 | VLDB | 6.4448142e-05 |
| 5,498 | HAMSTER: Using Search Clicklogs for Schema and Taxonomy Matching | 2009 | VLDB | 6.1035636e-05 |
| 9,171 | Analyzing and Revising Data Integration Schemas to Improve Their Matchability | 2008 | VLDB | 5.2141009e-05 |
| 12,029 | Valentine in Action: Matching Tabular Data at Scale | 2021 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
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|---|---|---|---|---|
| 1 | 5,765 | Top-K Generation of Integrated Schemas Based on Directed and Weighted Correspondences | 2009 | SIGMOD |
| 2 | 801 | Statistical Schema Matching across Web Query Interfaces | 2003 | SIGMOD |
| 3 | 1,958 | iMAP: Discovering Complex Semantic Matches between Database Schemas | 2004 | SIGMOD |
| 4 | 1,776 | Sample-Driven Schema Mapping | 2012 | SIGMOD |
| 5 | 4,602 | Reducing Uncertainty of Schema Matching via Crowdsourcing | 2013 | VLDB |
| 6 | 7,455 | AgreementMaker: Efficient Matching for Large Real-World Schemas and Ontologies | 2009 | VLDB |
| 7 | 9,170 | The Role of Schema Matching in Large Enterprises | 2009 | CIDR |
| 8 | 7,070 | E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model | 2025 | VLDB |
| 9 | 9,171 | Analyzing and Revising Data Integration Schemas to Improve Their Matchability | 2008 | VLDB |
| 10 | 6,312 | Putting Context into Schema Matching | 2006 | VLDB |