Generalized Supervised Meta-blocking
Summary: Generalized Supervised Meta-blocking extends schema-agnostic blocking with a probabilistic, classifier-based score from multiple co-occurrence features. It analyzes weighting and pruning choices to minimize training data size while preserving effective feature sets for pruning. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Luca Gagliardelli (University of Modena and Reggio Emilia)
- 2. George Papadakis (Public Power Corporation; University of Athens)
- 3. Giovanni Simonini (University of Modena and Reggio Emilia)
- 4. Sonia Bergamaschi (University of Modena and Reggio Emilia)
- 5. Themis Palpanas (Institut universitaire de France; Université Paris Cité)
BibTeX Citation
@article{gagliardelli_vldb22,
title = {{Generalized Supervised Meta-blocking}},
author = {Gagliardelli, Luca and Papadakis, George and Simonini, Giovanni and Bergamaschi, Sonia and Palpanas, Themis},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {9},
pages = {1902--1910},
doi = {10.14778/3538598.3538611},
url = {https://doi.org/10.14778/3538598.3538611},
year = {2022}
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 248 | Evaluation of entity resolution approaches on real-world match problems | 2010 | VLDB | 0.00023278354 |
| 427 | Big Data Integration | 2013 | VLDB | 0.00018661543 |
| 2,120 | Comparative Analysis of Approximate Blocking Techniques for Entity Resolution | 2016 | VLDB | 9.1406654e-05 |
| 3,665 | BLAST: a Loosely Schema-aware Meta-blocking Approach for Entity Resolution | 2016 | VLDB | 7.2142217e-05 |
| 4,938 | Supervised Meta-blocking | 2014 | VLDB | 6.4338718e-05 |
| 4,940 | BEER: Blocking for Effective Entity Resolution | 2021 | SIGMOD | 6.4336209e-05 |
| 5,018 | Schema-agnostic vs Schema-based Configurations for Blocking Methods on Homogeneous Data | 2016 | VLDB | 6.3993079e-05 |
| 7,743 | Entity Resolution On-Demand | 2022 | VLDB | 5.5545622e-05 |
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| 1 | 2,290 | ZeroER: Entity Resolution using Zero Labeled Examples | 2020 | SIGMOD |
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