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Qualitative Join Discovery in Data Lakes using Examples
Summary: QbE join discovery for schema/metadata-poor data lakes: SemDisc finds hybrid join paths mixing equi- and semantic joins from a few example values. Key novelty is supporting intermediate non-overlapping tables while guaranteeing example containment, with index-backed path search and >3x precision gains.
(summarized by gpt-5-mini on Apr 11 2026)
Paper ID
h969b58c82ef59bb7
Venue
SIGMOD
Year
2026
Pagerank
4.9793485e-05
Overall Rank
10,673 | 28.25%
DOI
10.1145/3786682
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BibTeX Citation
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@inproceedings{mohammad_sigmod26,
title = {{Qualitative Join Discovery in Data Lakes using Examples}},
author = {Mohammad, Mir Mahathir and Rezig, El Kindi},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3786682},
url = {https://dl.acm.org/doi/10.1145/3786682},
year = {2026}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 38 of 38 cited papers.
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