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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
h571bcc1fab6f8e61
Venue
SIGMOD
Year
2023
Pagerank
5.1259002e-05
Overall Rank
9,791 | 34.20%
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
10,184 Progressive Entity Matching: A Design Space Exploration 2025 SIGMOD 5.0629036e-05
10,431 BEACON: Budget-Aware Entity Matching Across Domains 2026 SIGMOD 4.9769913e-05
10,549 3dSAGER: Geospatial Entity Resolution over 3D Objects 2026 SIGMOD 4.9769913e-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
20 Similarity Search in High Dimensions via Hashing 1999 VLDB 0.0005758001
134 Deep Entity Matching with Pre-Trained Language Models 2021 VLDB 0.00030042569
158 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00028038831
457 Distributed Representations of Tuples for Entity Resolution 2018 VLDB 0.00017899824
530 Magellan: Toward Building Entity Matching Management Systems 2016 VLDB 0.00016847532
1,493 Synthesizing Entity Matching Rules by Examples 2018 VLDB 0.00010500948
1,805 Raha: A Configuration-Free Error Detection System 2019 SIGMOD 9.5938877e-05
2,111 Comparative Analysis of Approximate Blocking Techniques for Entity Resolution 2016 VLDB 9.0194027e-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
3,837 Learning Expressive Linkage Rules using Genetic Programming 2012 VLDB 6.9898639e-05
4,035 Dual-Objective Fine-Tuning of BERT for Entity Matching 2021 VLDB 6.8363535e-05
4,941 Deep Indexed Active Learning for Matching Heterogeneous Entity Representations 2022 VLDB 6.3428387e-05
5,078 Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond 2021 SIGMOD 6.2832055e-05
6,465 ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks 2021 SIGMOD 5.7737349e-05
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# Overall Rank Paper Year Venue
1 9,713 Ground Truth Inference for Weakly Supervised Entity Matching 2023 SIGMOD
2 457 Distributed Representations of Tuples for Entity Resolution 2018 VLDB
3 9,251 Deep Active Alignment of Knowledge Graph Entities and Schemata 2023 SIGMOD
4 1,391 Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks 2020 SIGMOD
5 4,941 Deep Indexed Active Learning for Matching Heterogeneous Entity Representations 2022 VLDB
6 10,209 Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution 2024 VLDB
7 244 Evaluation of entity resolution approaches on real-world match problems 2010 VLDB
8 2,475 A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching 2020 SIGMOD
9 2,514 Deep Learning for Blocking in Entity Matching: A Design Space Exploration 2021 VLDB
10 158 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD