Tuning Schema Matching Software using Synthetic Scenarios
Summary: Automatic tuning of schema matching via synthetic scenarios with ground-truth mappings. Sequentially search tuning space from low-level components; broadens applicability to diverse matchers and improves real-schema accuracy, with optional user input. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mayssam Sayyadian
- 2. Yoonkyong Lee
- 3. AnHai Doan
- 4. Arnon S. Rosenthal
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,527 | Generic Schema Matching, Ten Years Later | 2011 | VLDB | 0.00011494604 |
| 2,641 | STBenchmark: Towards a Benchmark for Mapping Systems | 2008 | VLDB | 8.3968228e-05 |
| 2,792 | Incremental Schema Matching | 2006 | VLDB | 8.1185188e-05 |
| 3,708 | MOMA - A Mapping-based Object Matching System | 2007 | CIDR | 6.8213121e-05 |
| 4,675 | Comparing and Evaluating Mapping Systems with STBenchmark | 2008 | VLDB | 5.9999003e-05 |
| 5,586 | HAMSTER: Using Search Clicklogs for Schema and Taxonomy Matching | 2009 | VLDB | 5.4194791e-05 |
| 8,825 | Analyzing and Revising Data Integration Schemas to Improve Their Matchability | 2008 | VLDB | 4.4371579e-05 |
| 11,532 | Valentine in Action: Matching Tabular Data at Scale | 2021 | VLDB | 4.1905499e-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
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,949 | Top-K Generation of Integrated Schemas Based on Directed and Weighted Correspondences | 2009 | SIGMOD | 5.2564001e-05 |
| 899 | Statistical Schema Matching across Web Query Interfaces | 2003 | SIGMOD | 0.00015476061 |
| 2,183 | iMAP: Discovering Complex Semantic Matches between Database Schemas | 2004 | SIGMOD | 9.3584357e-05 |
| 2,081 | Sample-Driven Schema Mapping | 2012 | SIGMOD | 9.58883e-05 |
| 5,080 | Reducing Uncertainty of Schema Matching via Crowdsourcing | 2013 | VLDB | 5.7081186e-05 |
| 7,101 | AgreementMaker: Efficient Matching for Large Real-World Schemas and Ontologies | 2009 | VLDB | 4.8259062e-05 |
| 8,824 | The Role of Schema Matching in Large Enterprises | 2009 | CIDR | 4.4371579e-05 |
| 7,676 | E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model | 2025 | VLDB | 4.6770108e-05 |
| 8,825 | Analyzing and Revising Data Integration Schemas to Improve Their Matchability | 2008 | VLDB | 4.4371579e-05 |
| 6,289 | Putting Context into Schema Matching | 2006 | VLDB | 5.1226008e-05 |