MATE: Multi-Attribute Table Extraction
Summary: MATE targets table discovery with n-ary join keys, unlike unary-optimized systems. Its space-efficient Xash super-key index encodes and aggregates column-value syntax for aggressive false-positive pruning, yielding up to 60× faster discovery. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mahdi Esmailoghli (L3S Research Center; Leibniz University Hanover)
- 2. Jorge-Arnulfo Quiané-Ruiz (Technische University Berlin)
- 3. Ziawasch Abedjan (L3S Research Center; Leibniz University Hanover)
BibTeX Citation
@article{esmailoghli_vldb22,
title = {{MATE: Multi-Attribute Table Extraction}},
author = {Esmailoghli, Mahdi and Quiané-Ruiz, Jorge-Arnulfo and Abedjan, Ziawasch},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {8},
pages = {1684--1696},
doi = {10.14778/3529337.3529353},
url = {https://doi.org/10.14778/3529337.3529353},
year = {2022}
}
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