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Online Ordering of Overlapping Data Sources

Summary: OASIS orders autonomous, overlapping sources online to maximize answer delivery despite incomplete coverage/overlap statistics. It combines maximum-entropy overlap estimation, adaptive source ordering, and runtime statistics enrichment, achieving scalable anytime integration. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
hc31486c41d95586b
Venue
VLDB
Year
2014
Pagerank
4.9769913e-05
Overall Rank
12,480 | 16.12%
DOI
10.14778/2732232.2732235
PDF
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BibTeX Citation

@article{salloum_vldb14,
        title = {{Online Ordering of Overlapping Data Sources}},
        author = {Salloum, Mariam and Dong, Xin Luna and Srivastava, Divesh and Tsotras, Vassilis J.},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {3},
        pages = {133--144},
        doi = {10.14778/2732232.2732235},
        url = {https://doi.org/10.14778/2732232.2732235},
        year = {2014}
}

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Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,898 Using Probabilistic Information in Data Integration 1997 VLDB 9.4059662e-05
2,122 An Analysis of Structured Data on the Web 2012 VLDB 9.0057027e-05
3,081 Online Data Fusion 2011 VLDB 7.6662506e-05
5,974 Understanding Cardinality Estimation using Entropy Maximization 2010 PODS 5.9279222e-05
6,085 BibFinder/StatMiner: Effectively Mining and Using Coverage and Overlap Statistics in Data Integration 2003 VLDB 5.8894397e-05
12,844 Information Theory For Data Management 2009 VLDB 4.9769913e-05
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