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The Battleship Approach to the Low Resource Entity Matching Problem

Summary: Battleship-inspired active learning for low-resource entity matching; uses space-aware, distributed tuple-pair representations to gauge informativeness. Outperforms top active-learning baselines with fewer labels, approaching fully trained models. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6789
Venue
SIGMOD
Year
2023
Pagerank
5.2460348e-05
Overall Rank
9,610 | 34.07%
DOI
10.1145/3626711

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{genossar_sigmod23,
        title = {{The Battleship Approach to the Low Resource Entity Matching Problem}},
        author = {Genossar, Bar and Gal, Avigdor and Shraga, Roee},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3626711},
        url = {https://dl.acm.org/doi/10.1145/3626711},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
9,992 Progressive Entity Matching: A Design Space Exploration 2025 SIGMOD 5.1815618e-05
10,203 BEACON: Budget-Aware Entity Matching Across Domains 2026 SIGMOD 5.093636e-05
10,334 3dSAGER: Geospatial Entity Resolution over 3D Objects 2026 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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

Rank Cited Paper Year Venue Pagerank
21 Similarity Search in High Dimensions via Hashing 1999 VLDB 0.00056760516
141 Deep Entity Matching with Pre-Trained Language Models 2021 VLDB 0.0002964847
176 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00027191081
489 Distributed Representations of Tuples for Entity Resolution 2018 VLDB 0.0001761456
529 Magellan: Toward Building Entity Matching Management Systems 2016 VLDB 0.00017096361
1,465 Synthesizing Entity Matching Rules by Examples 2018 VLDB 0.00010689571
2,120 Comparative Analysis of Approximate Blocking Techniques for Entity Resolution 2016 VLDB 9.1406654e-05
2,290 ZeroER: Entity Resolution using Zero Labeled Examples 2020 SIGMOD 8.799251e-05
2,297 Raha: A Configuration-Free Error Detection System 2019 SIGMOD 8.7897221e-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
3,755 Learning Expressive Linkage Rules using Genetic Programming 2012 VLDB 7.1496482e-05
4,447 Dual-Objective Fine-Tuning of BERT for Entity Matching 2021 VLDB 6.6984471e-05
4,824 Deep Indexed Active Learning for Matching Heterogeneous Entity Representations 2022 VLDB 6.4914944e-05
4,966 Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond 2021 SIGMOD 6.4225454e-05
6,433 ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks 2021 SIGMOD 5.8801048e-05
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