MOMA - A Mapping-based Object Matching System
Summary: MOMA is a mapping-centric object-matching framework that composes attribute and contextual matchers into reusable instance-level mappings for P2P fusion. Supports semantic mappings of varied cardinalities and merge/compose operators plus cross-source and duplicate-resolution strategies. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Andreas Thor (University of Leipzig)
- 2. Erhard Rahm (University of Leipzig)
BibTeX Citation
@inproceedings{thor_cidr07,
address = {Amsterdam, Netherlands},
series = {{CIDR} '07},
title = {{MOMA - A Mapping-based Object Matching System}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Thor, Andreas and Rahm, Erhard},
year = {2007}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 244 | Evaluation of entity resolution approaches on real-world match problems | 2010 | VLDB | 0.00023265795 |
| 1,582 | Example-driven Design of Efficient Record Matching Queries | 2007 | VLDB | 0.0001015019 |
| 1,801 | Building Structured Web Community Portals: A Top-Down, Compositional, and Incremental Approach | 2007 | VLDB | 9.5997383e-05 |
| 5,961 | Exploiting Context Analysis for Combining Multiple Entity Resolution Systems | 2009 | SIGMOD | 5.9157271e-05 |
| 9,296 | Comparative evaluation of entity resolution approaches with FEVER | 2009 | VLDB | 5.1860131e-05 |
| 11,993 | New Algorithms for Monotone Classification | 2021 | PODS | 4.9605343e-05 |
| 12,247 | Entity Matching with Active Monotone Classification | 2018 | PODS | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 60 | The Merge/Purge Problem for Large Databases | 1995 | SIGMOD | 0.00039343755 |
| 95 | Potter's Wheel: An Interactive Data Cleaning System | 2001 | VLDB | 0.00034319763 |
| 162 | Robust and Efficient Fuzzy Match for Online Data Cleaning | 2003 | SIGMOD | 0.00027626077 |
| 231 | Reference Reconciliation in Complex Information Spaces | 2005 | SIGMOD | 0.00023797615 |
| 308 | Eliminating Fuzzy Duplicates in Data Warehouses | 2002 | VLDB | 0.0002143466 |
| 399 | COMA - A system for flexible combination of schema matching approaches | 2002 | VLDB | 0.00019094502 |
| 767 | AJAX: An Extensible Data Cleaning Tool | 2000 | SIGMOD | 0.00014100723 |
| 905 | Mapping Data in Peer-to-Peer Systems: Semantics and Algorithmic Issues | 2003 | SIGMOD | 0.00013138573 |
| 2,558 | DogmatiX Tracks down Duplicates in XML | 2005 | SIGMOD | 8.2766441e-05 |
| 2,587 | Tuning Schema Matching Software using Synthetic Scenarios | 2005 | VLDB | 8.241309e-05 |
| 5,462 | Identity Resolution – 23 Years of Practical Experience and Observations at Scale | 2006 | SIGMOD | 6.1045334e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,129 | Schema and Ontology Matching with COMA++ | 2005 | SIGMOD |
| 2 | 2,060 | Merging Models Based on Given Correspondences | 2003 | VLDB |
| 3 | 12,507 | Matching Heterogeneous Event Data | 2014 | SIGMOD |
| 4 | 1,251 | Entity Matching: How Similar Is Similar | 2011 | VLDB |
| 5 | 9,986 | Meta-Mappings for Schema Mapping Reuse | 2019 | VLDB |
| 6 | 6,324 | Putting Context into Schema Matching | 2006 | VLDB |
| 7 | 9,203 | Analyzing and Revising Data Integration Schemas to Improve Their Matchability | 2008 | VLDB |
| 8 | 1,967 | iMAP: Discovering Complex Semantic Matches between Database Schemas | 2004 | SIGMOD |
| 9 | 6,247 | MapMerge: Correlating Independent Schema Mappings | 2010 | VLDB |
| 10 | 399 | COMA - A system for flexible combination of schema matching approaches | 2002 | VLDB |