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: 0.00016799
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	0.00025546182
433	Corleone: Hands-Off Crowdsourcing for Entity Matching	2014	SIGMOD	0.00018324965
530	Magellan: Toward Building Entity Matching Management Systems	2016	VLDB	0.00016847532
623	Entity Resolution: Theory, Practice & Open Challenges	2012	VLDB	0.00015477107
934	Question Selection for Crowd Entity Resolution	2013	VLDB	0.00012998402
2,278	Active Learning for ML Enhanced Database Systems	2020	SIGMOD	8.7057608e-05
2,325	ZeroER: Entity Resolution using Zero Labeled Examples	2020	SIGMOD	8.6308459e-05
2,475	A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching	2020	SIGMOD	8.4074448e-05
2,643	Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning	2015	VLDB	8.1741373e-05
3,409	Waldo: An Adaptive Human Interface for Crowd Entity Resolution	2017	SIGMOD	7.3230153e-05
3,837	Learning Expressive Linkage Rules using Genetic Programming	2012	VLDB	6.9898639e-05
4,053	Crowd-Based Deduplication: An Adaptive Approach	2015	SIGMOD	6.8253348e-05
4,941	Deep Indexed Active Learning for Matching Heterogeneous Entity Representations	2022	VLDB	6.3428387e-05
5,030	Actively Soliciting Feedback for Query Answers in Keyword Search-Based Data Integration	2013	VLDB	6.3047041e-05
5,078	Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond	2021	SIGMOD	6.2832055e-05
5,333	Argonaut: Macrotask Crowdsourcing for Complex Data Processing	2015	VLDB	6.1754682e-05
5,516	Big Graphs: Challenges and Opportunities	2022	VLDB	6.0957673e-05
5,633	MaskIt: Privately Releasing User Context Streams for Personalized Mobile Applications	2012	SIGMOD	6.0553394e-05
6,141	Expand your Training Limits! Generating Training Data for ML-based Data Management	2021	SIGMOD	5.8708409e-05
6,528	Parallel Discrepancy Detection and Incremental Detection	2021	VLDB	5.7540798e-05
7,412	Linking Temporal Records for Profiling Entities	2015	SIGMOD	5.531708e-05
7,765	User Guidance for Efficient Fact Checking	2019	VLDB	5.4558382e-05
7,876	Rock: Cleaning Data by Embedding ML in Logic Rules	2024	SIGMOD	5.4336606e-05
8,524	Minimizing Efforts in Validating Crowd Answers	2015	SIGMOD	5.3218497e-05
9,713	Ground Truth Inference for Weakly Supervised Entity Matching	2023	SIGMOD	5.1350726e-05
9,813	Making It Tractable to Catch Duplicates and Conflicts in Graphs	2023	SIGMOD	5.1233734e-05
10,250	Towards Interpretable and Learnable Risk Analysis for Entity Resolution	2020	SIGMOD	5.0501823e-05
11,596	Enriching Relations with Additional Attributes for ER	2024	VLDB	4.9769913e-05
11,744	Splitting Tuples of Mismatched Entities	2023	SIGMOD	4.9769913e-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
12,686	Web Scale Taxonomy Cleansing	2011	VLDB	4.9769913e-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	0.00039440583
108	Approximate String Joins in a Database (Almost) for Free	2001	VLDB	0.00033040246
168	Efficient Exact Set-Similarity Joins	2006	VLDB	0.00027151132
201	Efficient set joins on similarity predicates	2004	SIGMOD	0.00025319937
230	Reference Reconciliation in Complex Information Spaces	2005	SIGMOD	0.00023861741
307	Eliminating Fuzzy Duplicates in Data Warehouses	2002	VLDB	0.00021489374
1,062	VGRAM: Improving Performance of Approximate Queries on String Collections Using Variable-Length Grams	2007	VLDB	0.00012208031
1,581	Example-driven Design of Efficient Record Matching Queries	2007	VLDB	0.0001017553
3,403	Benchmarking Declarative Approximate Selection Predicates	2007	SIGMOD	7.3266624e-05

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#	Overall Rank	Paper	Year	Venue
1	6,465	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	4,941	Deep Indexed Active Learning for Matching Heterogeneous Entity Representations	2022	VLDB
5	2,278	Active Learning for ML Enhanced Database Systems	2020	SIGMOD
6	9,791	The Battleship Approach to the Low Resource Entity Matching Problem	2023	SIGMOD
7	9,251	Deep Active Alignment of Knowledge Graph Entities and Schemata	2023	SIGMOD
8	4,509	Optimization for Active Learning-based Interactive Database Exploration	2019	VLDB
9	12,204	Entity Matching with Active Monotone Classification	2018	PODS
10	2,475	A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching	2020	SIGMOD