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Progressive Entity Matching: A Design Space Exploration

Summary: Progressive Entity Matching frames ER as pay-as-you-go, with four steps: filtering, weighting, scheduling, matching. A design-space taxonomy unifies existing and novel techniques, yielding high-performing progressive ER strategies across RL/Dedup datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
ha8a3b34ac089cdc8
Venue
SIGMOD
Year
2025
Pagerank
5.0653015e-05
Overall Rank
10,180 | 31.56%
DOI
10.1145/3709715

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{maciejewski_sigmod25,
        title = {{Progressive Entity Matching: A Design Space Exploration}},
        author = {Maciejewski, Jakub and Nikoletos, Konstantinos and Papadakis, George and Velegrakis, Yannis},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3709715},
        url = {https://dl.acm.org/doi/10.1145/3709715},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
9,565 Deduplicated Sampling On-Demand 2025 VLDB 5.1571823e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
158 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00028046388
244 Evaluation of entity resolution approaches on real-world match problems 2010 VLDB 0.00023314591
427 Big Data Integration 2013 VLDB 0.00018465558
623 Entity Resolution: Theory, Practice & Open Challenges 2012 VLDB 0.00015483844
885 Framework for Evaluating Clustering Algorithms in Duplicate Detection 2009 VLDB 0.00013260551
1,472 Crowdsourcing Algorithms for Entity Resolution 2014 VLDB 0.00010558263
2,110 Comparative Analysis of Approximate Blocking Techniques for Entity Resolution 2016 VLDB 9.0233278e-05
2,475 A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching 2020 SIGMOD 8.410678e-05
2,514 Deep Learning for Blocking in Entity Matching: A Design Space Exploration 2021 VLDB 8.3648432e-05
3,473 Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration 2023 SIGMOD 7.2728706e-05
4,939 Deep Indexed Active Learning for Matching Heterogeneous Entity Representations 2022 VLDB 6.3458427e-05
5,049 BEER: Blocking for Effective Entity Resolution 2021 SIGMOD 6.297901e-05
5,540 Pre-trained Embeddings for Entity Resolution: An Experimental Analysis 2023 VLDB 6.0907591e-05
6,300 Sparkly: A Simple yet Surprisingly Strong TF/IDF Blocker for Entity Matching 2023 VLDB 5.8189161e-05
7,260 Entity Resolution On-Demand 2022 VLDB 5.571581e-05
7,401 BrewER: Entity Resolution On-Demand 2023 VLDB 5.5359939e-05
9,785 The Battleship Approach to the Low Resource Entity Matching Problem 2023 SIGMOD 5.1283279e-05
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