On Active Learning of Record Matching Packages

Summary: Active learning for record matching: selective labeling to train a classifier. New algorithms exploit record-matching structure to guarantee quality and scalability; real-world experiments validate effectiveness. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h22180ec5269d81a8
Venue: SIGMOD
Year: 2010
Pagerank: 0.0001680637
Overall Rank: 534 | 96.42%
DOI: 10.1145/1807167.1807252

Incoming Non-self Citations Over Time

Authors

1. Arvind Arasu (Microsoft)
2. Michaela Götz (Cornell University)
3. Raghav Kaushik (Microsoft)

BibTeX Citation

@inproceedings{arasu_sigmod10,
        title = {{On Active Learning of Record Matching Packages}},
        author = {Arasu, Arvind and Götz, Michaela and Kaushik, Raghav},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807252},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807252},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 32 of 32 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
198	CrowdER: Crowdsourcing Entity Resolution	2012	VLDB	0.00025555196
433	Corleone: Hands-Off Crowdsourcing for Entity Matching	2014	SIGMOD	0.00018332741
530	Magellan: Toward Building Entity Matching Management Systems	2016	VLDB	0.00016855162
623	Entity Resolution: Theory, Practice & Open Challenges	2012	VLDB	0.00015483844
933	Question Selection for Crowd Entity Resolution	2013	VLDB	0.00013004422
2,275	Active Learning for ML Enhanced Database Systems	2020	SIGMOD	8.7090584e-05
2,323	ZeroER: Entity Resolution using Zero Labeled Examples	2020	SIGMOD	8.6348884e-05
2,475	A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching	2020	SIGMOD	8.410678e-05
2,642	Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning	2015	VLDB	8.1778168e-05
3,409	Waldo: An Adaptive Human Interface for Crowd Entity Resolution	2017	SIGMOD	7.3264601e-05
3,836	Learning Expressive Linkage Rules using Genetic Programming	2012	VLDB	6.9931665e-05
4,051	Crowd-Based Deduplication: An Adaptive Approach	2015	SIGMOD	6.8285415e-05
4,939	Deep Indexed Active Learning for Matching Heterogeneous Entity Representations	2022	VLDB	6.3458427e-05
5,029	Actively Soliciting Feedback for Query Answers in Keyword Search-Based Data Integration	2013	VLDB	6.3071209e-05
5,076	Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond	2021	SIGMOD	6.2860582e-05
5,326	Argonaut: Macrotask Crowdsourcing for Complex Data Processing	2015	VLDB	6.178393e-05
5,513	Big Graphs: Challenges and Opportunities	2022	VLDB	6.0986544e-05
5,631	MaskIt: Privately Releasing User Context Streams for Personalized Mobile Applications	2012	SIGMOD	6.0582073e-05
6,141	Expand your Training Limits! Generating Training Data for ML-based Data Management	2021	SIGMOD	5.8733296e-05
6,525	Parallel Discrepancy Detection and Incremental Detection	2021	VLDB	5.756805e-05
7,409	Linking Temporal Records for Profiling Entities	2015	SIGMOD	5.5343253e-05
7,778	User Guidance for Efficient Fact Checking	2019	VLDB	5.4546499e-05
7,872	Rock: Cleaning Data by Embedding ML in Logic Rules	2024	SIGMOD	5.4362062e-05
8,518	Minimizing Efforts in Validating Crowd Answers	2015	SIGMOD	5.3243701e-05
9,708	Ground Truth Inference for Weakly Supervised Entity Matching	2023	SIGMOD	5.1374628e-05
9,806	Making It Tractable to Catch Duplicates and Conflicts in Graphs	2023	SIGMOD	5.1257999e-05
10,244	Towards Interpretable and Learnable Risk Analysis for Entity Resolution	2020	SIGMOD	5.0525742e-05
11,590	Enriching Relations with Additional Attributes for ER	2024	VLDB	4.9793485e-05
11,738	Splitting Tuples of Mismatched Entities	2023	SIGMOD	4.9793485e-05
11,943	New Algorithms for Monotone Classification	2021	PODS	4.9793485e-05
12,198	Entity Matching with Active Monotone Classification	2018	PODS	4.9793485e-05
12,680	Web Scale Taxonomy Cleansing	2011	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 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	0.000394583
108	Approximate String Joins in a Database (Almost) for Free	2001	VLDB	0.0003305531
168	Efficient Exact Set-Similarity Joins	2006	VLDB	0.00027163517
201	Efficient set joins on similarity predicates	2004	SIGMOD	0.00025331535
230	Reference Reconciliation in Complex Information Spaces	2005	SIGMOD	0.00023871933
307	Eliminating Fuzzy Duplicates in Data Warehouses	2002	VLDB	0.00021499031
1,061	VGRAM: Improving Performance of Approximate Queries on String Collections Using Variable-Length Grams	2007	VLDB	0.00012213729
1,581	Example-driven Design of Efficient Record Matching Queries	2007	VLDB	0.00010180038
3,403	Benchmarking Declarative Approximate Selection Predicates	2007	SIGMOD	7.3300953e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	6,463	ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks	2021	SIGMOD
2	1,581	Example-driven Design of Efficient Record Matching Queries	2007	VLDB
3	2,514	Deep Learning for Blocking in Entity Matching: A Design Space Exploration	2021	VLDB
4	4,939	Deep Indexed Active Learning for Matching Heterogeneous Entity Representations	2022	VLDB
5	2,275	Active Learning for ML Enhanced Database Systems	2020	SIGMOD
6	9,785	The Battleship Approach to the Low Resource Entity Matching Problem	2023	SIGMOD
7	9,241	Deep Active Alignment of Knowledge Graph Entities and Schemata	2023	SIGMOD
8	4,507	Optimization for Active Learning-based Interactive Database Exploration	2019	VLDB
9	12,198	Entity Matching with Active Monotone Classification	2018	PODS
10	2,475	A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching	2020	SIGMOD