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)
Incoming Non-self Citations Over Time
Authors
- 1. Fatemeh Nargesian (University of Toronto)
- 2. Erkang Zhu (University of Toronto)
- 3. Ken Q. Pu (University of Ontario Institute of Technology)
- 4. Renee J. Miller (University of Toronto)
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}
}
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