Tutorial: Uncertain Entity Resolution: Re-evaluating Entity Resolution in the Big Data Era

Summary: Re-evaluates entity resolution for big-data integration, emphasizing that record-to-entity mappings are intrinsically uncertain. Connects ER with probabilistic databases to characterize uncertainty sources and address data veracity. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 11047
Venue: VLDB
Year: 2014
Pagerank: 5.093636e-05
Overall Rank: 12,200 | 16.30%
DOI: 10.14778/2733004.2733068

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Authors

1. Avigdor Gal (Technion)

BibTeX Citation

@article{gal_vldb14,
        title = {{Tutorial: Uncertain Entity Resolution: Re-evaluating Entity Resolution in the Big Data Era}},
        author = {Gal, Avigdor},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {13},
        pages = {1711--1714},
        doi = {10.14778/2733004.2733068},
        url = {https://doi.org/10.14778/2733004.2733068},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

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Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
201	Declarative Data Cleaning: Language, Model, and Algorithms	2001	VLDB	0.00025558602
3,371	Modeling and Querying Possible Repairs in Duplicate Detection	2009	VLDB	7.4697134e-05
3,514	On-the-Fly Entity-Aware Query Processing in the Presence of Linkage	2010	VLDB	7.3540873e-05

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