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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
ha59c49e5717a996f
Venue
VLDB
Year
2022
Pagerank
5.571581e-05
Overall Rank
7,260 | 51.19%
DOI
10.14778/3523210.3523226

Incoming Non-self Citations Over Time

Authors

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}
}

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