iMAP: Discovering Complex Semantic Matches between Database Schemas
Summary: iMAP semi-automates schema matching beyond 1-1 by exploring a large/infinite space for complex matches (e.g., address = concat(city, state)). It uses specialized searchers, domain knowledge, integrity constraints, and overlap data, with explanations to justify matches and accelerate convergence on real-world schemas. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Robin Dhamankar (University of Illinois Urbana-Champaign)
- 2. Yoonkyong Lee (University of Illinois Urbana-Champaign)
- 3. AnHai Doan (University of Illinois Urbana-Champaign)
- 4. Alon Halevy (University of Washington)
- 5. Pedro Domingos (University of Washington)
BibTeX Citation
@inproceedings{dhamankar_sigmod04,
title = {{iMAP: Discovering Complex Semantic Matches between Database Schemas}},
author = {Dhamankar, Robin and Lee, Yoonkyong and Doan, AnHai and Halevy, Alon and Domingos, Pedro},
series = {{SIGMOD} '04},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1007568.1007612},
url = {https://dl.acm.org/doi/10.1145/1007568.1007612},
year = {2004}
}
Incoming Citations (Sorted by Pagerank)
Showing 16 of 16 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 22 | Data Integration: A Theoretical Perspective | 2002 | PODS | 0.00056204792 |
| 263 | Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach | 2001 | SIGMOD | 0.0002305693 |
| 297 | Generic Schema Matching with Cupid | 2001 | VLDB | 0.00022157284 |
| 390 | COMA - A system for flexible combination of schema matching approaches | 2002 | VLDB | 0.00019382486 |
| 432 | Mining Database Structure; Or, How to Build a Data Quality Browser | 2002 | SIGMOD | 0.00018572055 |
| 454 | Using Schema Matching to Simplify Heterogeneous Data Translation | 1998 | VLDB | 0.00018133578 |
| 778 | Statistical Schema Matching across Web Query Interfaces | 2003 | SIGMOD | 0.00014102198 |
| 808 | On Schema Matching with Opaque Column Names and Data Values | 2003 | SIGMOD | 0.00013884332 |
| 1,030 | Data-Driven Understanding and Refinement of Schema Mappings | 2001 | SIGMOD | 0.00012545209 |
| 1,708 | Using Schematically Heterogeneous Structures | 1998 | SIGMOD | 9.958846e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 13,689 | U-MAP: A System for Usage-Based Schema Matching and Mapping | 2011 | SIGMOD |
| 2 | 180 | Schema Mapping as Query Discovery | 2000 | VLDB |
| 3 | 9,014 | The Role of Schema Matching in Large Enterprises | 2009 | CIDR |
| 4 | 3,942 | On the Complexity of Deriving Schema Mappings from Database Instances | 2008 | PODS |
| 5 | 3,341 | Designing and Refining Schema Mappings via Data Examples | 2011 | SIGMOD |
| 6 | 9,790 | Meta-Mappings for Schema Mapping Reuse | 2019 | VLDB |
| 7 | 390 | COMA - A system for flexible combination of schema matching approaches | 2002 | VLDB |
| 8 | 6,252 | Putting Context into Schema Matching | 2006 | VLDB |
| 9 | 9,015 | Analyzing and Revising Data Integration Schemas to Improve Their Matchability | 2008 | VLDB |
| 10 | 6,104 | MapMerge: Correlating Independent Schema Mappings | 2010 | VLDB |