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)

Paper ID: 81
Venue: CIDR
Year: 2007
Pagerank: 7.3021209e-05
Overall Rank: 3,568 | 75.53%
DOI: -

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
248	Evaluation of entity resolution approaches on real-world match problems	2010	VLDB	0.00023278354
1,560	Example-driven Design of Efficient Record Matching Queries	2007	VLDB	0.00010361222
1,848	Building Structured Web Community Portals: A Top-Down, Compositional, and Incremental Approach	2007	VLDB	9.6208418e-05
5,830	Exploiting Context Analysis for Combining Multiple Entity Resolution Systems	2009	SIGMOD	6.0734178e-05
9,088	Comparative evaluation of entity resolution approaches with FEVER	2009	VLDB	5.3251649e-05
11,636	New Algorithms for Monotone Classification	2021	PODS	5.093636e-05
11,898	Entity Matching with Active Monotone Classification	2018	PODS	5.093636e-05

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
58	The Merge/Purge Problem for Large Databases	1995	SIGMOD	0.00040116748
94	Potter's Wheel: An Interactive Data Cleaning System	2001	VLDB	0.00034616103
158	Robust and Efficient Fuzzy Match for Online Data Cleaning	2003	SIGMOD	0.00028199923
228	Reference Reconciliation in Complex Information Spaces	2005	SIGMOD	0.00023941271
306	Eliminating Fuzzy Duplicates in Data Warehouses	2002	VLDB	0.00021839661
390	COMA - A system for flexible combination of schema matching approaches	2002	VLDB	0.00019382486
751	AJAX: An Extensible Data Cleaning Tool	2000	SIGMOD	0.00014369237
884	Mapping Data in Peer-to-Peer Systems: Semantics and Algorithmic Issues	2003	SIGMOD	0.00013419278
2,531	DogmatiX Tracks down Duplicates in XML	2005	SIGMOD	8.4574631e-05
2,538	Tuning Schema Matching Software using Synthetic Scenarios	2005	VLDB	8.4548936e-05
5,320	Identity Resolution – 23 Years of Practical Experience and Observations at Scale	2006	SIGMOD	6.2669189e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	1,158	Schema and Ontology Matching with COMA++	2005	SIGMOD
2	2,007	Merging Models Based on Given Correspondences	2003	VLDB
3	12,167	Matching Heterogeneous Event Data	2014	SIGMOD
4	1,248	Entity Matching: How Similar Is Similar	2011	VLDB
5	9,790	Meta-Mappings for Schema Mapping Reuse	2019	VLDB
6	6,252	Putting Context into Schema Matching	2006	VLDB
7	9,015	Analyzing and Revising Data Integration Schemas to Improve Their Matchability	2008	VLDB
8	1,939	iMAP: Discovering Complex Semantic Matches between Database Schemas	2004	SIGMOD
9	6,104	MapMerge: Correlating Independent Schema Mappings	2010	VLDB
10	390	COMA - A system for flexible combination of schema matching approaches	2002	VLDB