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Table Union Search on Open Data

Summary: Proposes probabilistic table union search for Open Data to find unionable tables via shared attribute domains. Three models (set-domain, ontology semantic, NL-domain), a per-pair data-driven selector, and a distribution-aware union-size algorithm; open benchmark with scalable results to 1M+ attributes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h1a02d5fd545a2b59
Venue
VLDB
Year
2018
Pagerank
0.00014125424
Overall Rank
765 | 94.86%
DOI
10.14778/3192965.3192973

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{nargesian_vldb18,
        title = {{Table Union Search on Open Data}},
        author = {Nargesian, Fatemeh and Zhu, Erkang and Pu, Ken Q. and Miller, Renee J.},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {7},
        pages = {813--825},
        doi = {10.14778/3192965.3192973},
        url = {https://doi.org/10.14778/3192965.3192973},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 51 citing papers.

Rank Citing Paper Year Venue Pagerank
12,029 Valentine in Action: Matching Tabular Data at Scale 2021 VLDB 4.9793485e-05
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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.

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