Lory-j: Location-aware Join Discovery from Data Lakes
Summary: Lory-j makes spatial attributes first-class in data-lake join discovery, supporting proximity, containment, and intersection alongside equi-/semantic joins. Its map-driven interface discovers, visualizes, and materializes hybrid join paths without schemas or known keys. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Lu Xing (Purdue University)
- 2. Mir Mahathir Mohammad (University of Utah)
- 3. Walid G. Aref (Purdue University)
- 4. El Kindi Rezig (University of Utah)
BibTeX Citation
@article{xing_vldb26,
title = {{Lory-j: Location-aware Join Discovery from Data Lakes}},
author = {Xing, Lu and Mohammad, Mir Mahathir and Aref, Walid G. and Rezig, El Kindi},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4822--4825},
doi = {10.14778/3827998.3828131},
url = {https://doi.org/10.14778/3827998.3828131},
year = {2026}
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,988 | SANTOS: Relationship-based Semantic Table Union Search | 2023 | SIGMOD | 9.2482448e-05 |
| 4,409 | LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes | 2024 | VLDB | 6.6120807e-05 |
| 6,491 | Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data | 2024 | SIGMOD | 5.7674551e-05 |
| 7,218 | DICE: Data Discovery by Example | 2021 | VLDB | 5.5832755e-05 |
| 10,673 | Qualitative Join Discovery in Data Lakes using Examples | 2026 | SIGMOD | 4.9793485e-05 |
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