Entity Resolution On-Demand

Summary: BrewER performs entity resolution on demand, rather than cleaning entire datasets upfront, progressively evaluating SQL selection-projection queries as though data were clean. It prioritizes entities via ORDER BY, enabling efficient top-k and stop-and-resume execution on dirty, growing data. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 12844
Venue: VLDB
Year: 2022
Pagerank: 5.5545622e-05
Overall Rank: 7,743 | 46.88%
DOI: 10.14778/3523210.3523226

Incoming Non-self Citations Over Time

Authors

1. Giovanni Simonini (University of Modena and Reggio Emilia)
2. Luca Zecchini (University of Modena and Reggio Emilia)
3. Sonia Bergamaschi (University of Modena and Reggio Emilia)
4. Felix Naumann (Hasso Plattner Institute; University of Potsdam)

BibTeX Citation

@article{simonini_vldb22,
        title = {{Entity Resolution On-Demand}},
        author = {Simonini, Giovanni and Zecchini, Luca and Bergamaschi, Sonia and Naumann, Felix},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {7},
        pages = {1506--1518},
        doi = {10.14778/3523210.3523226},
        url = {https://doi.org/10.14778/3523210.3523226},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,045	Logical and Physical Optimizations for SQL Query Execution over Large Language Models	2025	SIGMOD	6.9394654e-05
9,381	Deduplicated Sampling On-Demand	2025	VLDB	5.2755515e-05
9,611	BrewER: Entity Resolution On-Demand	2023	VLDB	5.2460348e-05
9,992	Progressive Entity Matching: A Design Space Exploration	2025	SIGMOD	5.1815618e-05
11,034	RadlER: Deduplicated Sampling On-Demand	2025	VLDB	5.093636e-05
11,217	FusionQuery: On-demand Fusion Queries over Multi-source Heterogeneous Data	2024	VLDB	5.093636e-05
11,571	Generalized Supervised Meta-blocking	2022	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 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
155	MAD Skills: New Analysis Practices for Big Data	2009	VLDB	0.00028713176
176	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00027191081
516	Data Curation at Scale: The Data Tamer System	2013	CIDR	0.00017171198
749	Data Lake Management: Challenges and Opportunities	2019	VLDB	0.00014379989
969	Web-scale Data Integration: You can only afford to Pay As You Go	2007	CIDR	0.00012892148
1,649	Bootstrapping Pay-As-You-Go Data Integration Systems	2008	SIGMOD	0.00010117306
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
3,602	Online Entity Resolution Using an Oracle	2016	VLDB	7.2691521e-05
5,204	QuERy: A Framework for Integrating Entity Resolution with Query Processing	2016	VLDB	6.3187983e-05
7,493	Human-in-the-loop Data Integration	2017	VLDB	5.6046905e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	10,878	Evaluating Methods for Efficient Entity Count Estimation	2025	VLDB
2	1,293	Entity Resolution with Iterative Blocking	2009	SIGMOD
3	10,318	In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration	2026	SIGMOD
4	5,972	Query-Driven Approach to Entity Resolution	2013	VLDB
5	3,602	Online Entity Resolution Using an Oracle	2016	VLDB
6	2,711	Progressive Approach to Relational Entity Resolution	2014	VLDB
7	4,940	BEER: Blocking for Effective Entity Resolution	2021	SIGMOD
8	3,732	Entity Resolution with Evolving Rules	2010	VLDB
9	5,204	QuERy: A Framework for Integrating Entity Resolution with Query Processing	2016	VLDB
10	9,611	BrewER: Entity Resolution On-Demand	2023	VLDB