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 | 0.00023307564 |
| 1,581 | Example-driven Design of Efficient Record Matching Queries | 2007 | VLDB | 0.0001017553 |
| 1,792 | Building Structured Web Community Portals: A Top-Down, Compositional, and Incremental Approach | 2007 | VLDB | 9.6212499e-05 |
| 5,946 | Exploiting Context Analysis for Combining Multiple Entity Resolution Systems | 2009 | SIGMOD | 5.9352297e-05 |
| 9,272 | Comparative evaluation of entity resolution approaches with FEVER | 2009 | VLDB | 5.2032182e-05 |
| 11,949 | New Algorithms for Monotone Classification | 2021 | PODS | 4.9769913e-05 |
| 12,204 | Entity Matching with Active Monotone Classification | 2018 | PODS | 4.9769913e-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 | 0.00039440583 |
| 95 | Potter's Wheel: An Interactive Data Cleaning System | 2001 | VLDB | 0.00034367518 |
| 161 | Robust and Efficient Fuzzy Match for Online Data Cleaning | 2003 | SIGMOD | 0.00027705594 |
| 230 | Reference Reconciliation in Complex Information Spaces | 2005 | SIGMOD | 0.00023861741 |
| 307 | Eliminating Fuzzy Duplicates in Data Warehouses | 2002 | VLDB | 0.00021489374 |
| 407 | COMA - A system for flexible combination of schema matching approaches | 2002 | VLDB | 0.00019017823 |
| 763 | AJAX: An Extensible Data Cleaning Tool | 2000 | SIGMOD | 0.00014133678 |
| 900 | Mapping Data in Peer-to-Peer Systems: Semantics and Algorithmic Issues | 2003 | SIGMOD | 0.0001318159 |
| 2,555 | DogmatiX Tracks down Duplicates in XML | 2005 | SIGMOD | 8.3009957e-05 |
| 2,580 | Tuning Schema Matching Software using Synthetic Scenarios | 2005 | VLDB | 8.2677597e-05 |
| 5,446 | Identity Resolution – 23 Years of Practical Experience and Observations at Scale | 2006 | SIGMOD | 6.124692e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,146 | Schema and Ontology Matching with COMA++ | 2005 | SIGMOD |
| 2 | 2,051 | Merging Models Based on Given Correspondences | 2003 | VLDB |
| 3 | 12,464 | Matching Heterogeneous Event Data | 2014 | SIGMOD |
| 4 | 1,249 | Entity Matching: How Similar Is Similar | 2011 | VLDB |
| 5 | 9,953 | Meta-Mappings for Schema Mapping Reuse | 2019 | VLDB |
| 6 | 6,315 | Putting Context into Schema Matching | 2006 | VLDB |
| 7 | 9,180 | Analyzing and Revising Data Integration Schemas to Improve Their Matchability | 2008 | VLDB |
| 8 | 1,959 | iMAP: Discovering Complex Semantic Matches between Database Schemas | 2004 | SIGMOD |
| 9 | 6,238 | MapMerge: Correlating Independent Schema Mappings | 2010 | VLDB |
| 10 | 407 | COMA - A system for flexible combination of schema matching approaches | 2002 | VLDB |