ALER: An Active Learning Hybrid System for Efficient Entity Resolution

Summary: ALER combines frozen bi-encoder embeddings, lightweight classifier training, sample/K-Means partitioning, and hybrid confident/confused querying for scalable active-learning ER. It avoids iterative deep-model retraining and NP-hard selection, reducing resolution latency 3.8×. (summarized by gpt-5.6-luna on Jul 09 2026)

Paper ID: 14505
Venue: VLDB
Year: 2026
Pagerank: 5.093636e-05
Overall Rank: 10,566 | 27.51%
DOI: 10.14778/3811243.3811251

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Dimitrios Karapiperis (International Hellenic University)
2. Leonidas Akritidis (International Hellenic University)
3. Panayiotis Bozanis (International Hellenic University)
4. Vassilios S. Verykios (Hellenic Open University)

BibTeX Citation

@article{karapiperis_vldb26,
        title = {{ALER: An Active Learning Hybrid System for Efficient Entity Resolution}},
        author = {Karapiperis, Dimitrios and Akritidis, Leonidas and Bozanis, Panayiotis and Verykios, Vassilios S.},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {8},
        pages = {1782--1790},
        doi = {10.14778/3811243.3811251},
        url = {https://doi.org/10.14778/3811243.3811251},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
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
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
2,475	Deep Learning for Blocking in Entity Matching: A Design Space Exploration	2021	VLDB	8.5277654e-05
2,626	Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning	2015	VLDB	8.3291889e-05
3,589	Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins	2022	VLDB	7.2812353e-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
6,167	Sparkly: A Simple yet Surprisingly Strong TF/IDF Blocker for Entity Matching	2023	VLDB	5.9524736e-05
6,192	Pre-trained Embeddings for Entity Resolution: An Experimental Analysis	2023	VLDB	5.947284e-05
7,092	FlexER: Flexible Entity Resolution for Multiple Intents	2023	SIGMOD	5.705818e-05
11,449	A Randomized Blocking Structure for Streaming Record Linkage	2023	VLDB	5.093636e-05

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#	Overall Rank	Paper	Year	Venue
1	9,063	Deep Active Alignment of Knowledge Graph Entities and Schemata	2023	SIGMOD
2	10,318	In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration	2026	SIGMOD
3	2,463	A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching	2020	SIGMOD
4	5,730	Domain Adaptation for Deep Entity Resolution	2022	SIGMOD
5	5,830	Exploiting Context Analysis for Combining Multiple Entity Resolution Systems	2009	SIGMOD
6	489	Distributed Representations of Tuples for Entity Resolution	2018	VLDB
7	2,290	ZeroER: Entity Resolution using Zero Labeled Examples	2020	SIGMOD
8	11,255	Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution	2024	VLDB
9	7,415	SystemER: A Human-in-the-loop System for Explainable Entity Resolution	2019	VLDB
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