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: 4355
Venue: SIGMOD
Year: 2010
Pagerank: 0.00017100838
Overall Rank: 528 | 96.38%
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
196	CrowdER: Crowdsourcing Entity Resolution	2012	VLDB	0.00025780596
439	Corleone: Hands-Off Crowdsourcing for Entity Matching	2014	SIGMOD	0.00018464913
529	Magellan: Toward Building Entity Matching Management Systems	2016	VLDB	0.00017096361
626	Entity Resolution: Theory, Practice & Open Challenges	2012	VLDB	0.00015656958
933	Question Selection for Crowd Entity Resolution	2013	VLDB	0.00013111293
2,290	ZeroER: Entity Resolution using Zero Labeled Examples	2020	SIGMOD	8.799251e-05
2,313	Active Learning for ML Enhanced Database Systems	2020	SIGMOD	8.762627e-05
2,463	A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching	2020	SIGMOD	8.5486912e-05
2,626	Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning	2015	VLDB	8.3291889e-05
3,496	Waldo: An Adaptive Human Interface for Crowd Entity Resolution	2017	SIGMOD	7.3634471e-05
3,755	Learning Expressive Linkage Rules using Genetic Programming	2012	VLDB	7.1496482e-05
3,983	Crowd-Based Deduplication: An Adaptive Approach	2015	SIGMOD	6.9739851e-05
4,824	Deep Indexed Active Learning for Matching Heterogeneous Entity Representations	2022	VLDB	6.4914944e-05
4,910	Actively Soliciting Feedback for Query Answers in Keyword Search-Based Data Integration	2013	VLDB	6.4484207e-05
4,966	Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond	2021	SIGMOD	6.4225454e-05
5,201	Argonaut: Macrotask Crowdsourcing for Complex Data Processing	2015	VLDB	6.3201995e-05
5,499	MaskIt: Privately Releasing User Context Streams for Personalized Mobile Applications	2012	SIGMOD	6.1972571e-05
5,608	Big Graphs: Challenges and Opportunities	2022	VLDB	6.1514145e-05
6,024	Expand your Training Limits! Generating Training Data for ML-based Data Management	2021	SIGMOD	6.0031118e-05
6,403	Parallel Discrepancy Detection and Incremental Detection	2021	VLDB	5.8859374e-05
7,265	Linking Temporal Records for Profiling Entities	2015	SIGMOD	5.6605087e-05
7,628	User Guidance for Efficient Fact Checking	2019	VLDB	5.5798467e-05
8,351	Minimizing Efforts in Validating Crowd Answers	2015	SIGMOD	5.4454221e-05
9,560	Ground Truth Inference for Weakly Supervised Entity Matching	2023	SIGMOD	5.2528121e-05
9,627	Making It Tractable to Catch Duplicates and Conflicts in Graphs	2023	SIGMOD	5.2434488e-05
9,647	Rock: Cleaning Data by Embedding ML in Logic Rules	2024	SIGMOD	5.2430158e-05
10,049	Towards Interpretable and Learnable Risk Analysis for Entity Resolution	2020	SIGMOD	5.1685424e-05
11,262	Enriching Relations with Additional Attributes for ER	2024	VLDB	5.093636e-05
11,424	Splitting Tuples of Mismatched Entities	2023	SIGMOD	5.093636e-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
12,389	Web Scale Taxonomy Cleansing	2011	VLDB	5.093636e-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
58	The Merge/Purge Problem for Large Databases	1995	SIGMOD	0.00040116748
107	Approximate String Joins in a Database (Almost) for Free	2001	VLDB	0.00033511706
169	Efficient Exact Set-Similarity Joins	2006	VLDB	0.0002743469
200	Efficient set joins on similarity predicates	2004	SIGMOD	0.00025597287
228	Reference Reconciliation in Complex Information Spaces	2005	SIGMOD	0.00023941271
306	Eliminating Fuzzy Duplicates in Data Warehouses	2002	VLDB	0.00021839661
1,040	VGRAM: Improving Performance of Approximate Queries on String Collections Using Variable-Length Grams	2007	VLDB	0.00012466499
1,560	Example-driven Design of Efficient Record Matching Queries	2007	VLDB	0.00010361222
3,356	Benchmarking Declarative Approximate Selection Predicates	2007	SIGMOD	7.490881e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	6,433	ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks	2021	SIGMOD
2	1,560	Example-driven Design of Efficient Record Matching Queries	2007	VLDB
3	2,475	Deep Learning for Blocking in Entity Matching: A Design Space Exploration	2021	VLDB
4	4,824	Deep Indexed Active Learning for Matching Heterogeneous Entity Representations	2022	VLDB
5	2,313	Active Learning for ML Enhanced Database Systems	2020	SIGMOD
6	9,610	The Battleship Approach to the Low Resource Entity Matching Problem	2023	SIGMOD
7	9,063	Deep Active Alignment of Knowledge Graph Entities and Schemata	2023	SIGMOD
8	4,420	Optimization for Active Learning-based Interactive Database Exploration	2019	VLDB
9	11,898	Entity Matching with Active Monotone Classification	2018	PODS
10	2,463	A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching	2020	SIGMOD