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SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora

Summary: SEMA-JOIN automates semantic joins beyond equi-joins by mining a big table corpus (>100M tables) to learn row- and column-level correlations. Join discovery is framed as maximizing aggregate correlation with a linear-program relaxation and a 2-approximation, yielding high precision on public and enterprise data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hbd55a1971e2fb0f5
Venue
VLDB
Year
2015
Pagerank
6.7137538e-05
Overall Rank
4,220 | 71.72%
DOI
10.14778/2824032.2824036
PDF
Download (CC BY-NC-ND 3.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{he_vldb15,
        title = {{SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora}},
        author = {He, Yeye and Ganjam, Kris and Chu, Xu},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {12},
        pages = {1358--1369},
        doi = {10.14778/2824032.2824036},
        url = {https://doi.org/10.14778/2824032.2824036},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 18 of 18 citing papers.

Rank Citing Paper Year Venue Pagerank
1,094 BlinkFill: Semi-supervised Programming By Example for Syntactic String Transformations 2016 VLDB 0.00012039085
2,370 DeepJoin: Joinable Table Discovery with Pre-trained Language Models 2023 VLDB 8.5469172e-05
2,608 Auto-Join: Joining Tables by Leveraging Transformations 2017 VLDB 8.209962e-05
2,645 Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks 2020 SIGMOD 8.1641056e-05
2,752 Uni-Detect: A Unified Approach to Automated Error Detection in Tables 2019 SIGMOD 8.0387193e-05
2,960 Auto-Detect: Data-Driven Error Detection in Tables 2018 SIGMOD 7.7967245e-05
4,444 Auto-Transform: Learning-to-Transform by Patterns 2020 VLDB 6.5812416e-05
4,994 Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples 2021 SIGMOD 6.3099657e-05
5,556 Putting Things into Context: Rich Explanations for Query Answers using Join Graphs 2021 SIGMOD 6.0705311e-05
5,654 DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models 2024 SIGMOD 6.0324041e-05
7,122 Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs 2023 SIGMOD 5.580601e-05
7,548 Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence 2025 VLDB 5.481283e-05
7,946 TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations 2025 VLDB 5.404949e-05
8,158 Synthesizing Mapping Relationships Using Table Corpus 2017 SIGMOD 5.3726245e-05
9,008 Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph 2023 VLDB 5.2245403e-05
10,232 Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees 2026 VLDB 5.0432098e-05
10,964 MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery 2026 VLDB 4.9605343e-05
11,668 Dealing with Acronyms, Abbreviations, and Typos in Real-World Entity Matching 2024 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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