Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning
Summary: Starmie enables table-union discovery with unsupervised contrastive, multi-column contextual encoders that learn semantic column representations from pretrained language models. Filter-and-verify scoring plus HNSW indexing improves retrieval effectiveness and delivers up to 3,000× speedups. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Grace Fan (Northeastern University)
- 2. Jin Wang (Megagon Labs)
- 3. Yuliang Li (Megagon Labs)
- 4. Dan Zhang (Megagon Labs)
- 5. Renée J. Miller (Northeastern University)
BibTeX Citation
@article{fan_vldb23,
title = {{Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning}},
author = {Fan, Grace and Wang, Jin and Li, Yuliang and Zhang, Dan and Miller, Renée J.},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {7},
pages = {1726--1739},
doi = {10.14778/3587136.3587146},
url = {https://doi.org/10.14778/3587136.3587146},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 29 of 29 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 27 of 27 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,411 | LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes | 2024 | VLDB |
| 2 | 10,903 | MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery | 2026 | VLDB |
| 3 | 765 | Table Union Search on Open Data | 2018 | VLDB |
| 4 | 11,264 | Birdie: Natural Language-Driven Table Discovery Using Differentiable Search Index | 2025 | VLDB |
| 5 | 7,199 | Cross Modal Data Discovery over Structured and Unstructured Data Lakes | 2023 | VLDB |
| 6 | 7,771 | LakeCompass: An End-to-End System for Data Maintenance, Search and Analysis in Data Lakes | 2024 | VLDB |
| 7 | 10,782 | Human-Centered Exploration of Table Unionability | 2026 | VLDB |
| 8 | 2,378 | DeepJoin: Joinable Table Discovery with Pre-trained Language Models | 2023 | VLDB |
| 9 | 10,684 | Qualitative Join Discovery in Data Lakes using Examples | 2026 | SIGMOD |
| 10 | 1,990 | SANTOS: Relationship-based Semantic Table Union Search | 2023 | SIGMOD |