Cross Modal Data Discovery over Structured and Unstructured Data Lakes
Summary: CMDL enables cross-modal discovery across structured tables and unstructured documents while preserving table structure, supporting seamless pipelines across modalities. Its weakly supervised multi-modal embeddings are domain-agnostic and outperform search-based and structured-only systems on real data lakes. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mohamed Y. Eltabakh (Qatar Computing Research Institute)
- 2. Mayuresh Kunjir (Amazon)
- 3. Ahmed K. Elmagarmid (Qatar Computing Research Institute)
- 4. Mohammad Shahmeer Ahmad (Qatar Computing Research Institute)
BibTeX Citation
@article{eltabakh_vldb23,
title = {{Cross Modal Data Discovery over Structured and Unstructured Data Lakes}},
author = {Eltabakh, Mohamed Y. and Kunjir, Mayuresh and Elmagarmid, Ahmed K. and Ahmad, Mohammad Shahmeer},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {11},
pages = {3377--3390},
doi = {10.14778/3611479.3611533},
url = {https://doi.org/10.14778/3611479.3611533},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,910 | Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects | 2025 | VLDB | 5.1103839e-05 |
| 10,337 | QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes | 2025 | VLDB | 5.0200193e-05 |
| 10,816 | FedAugment: Table Augmentation Search over Decentralized Data Repositories | 2026 | VLDB | 4.9793485e-05 |
| 11,529 | Unstructured Data Fusion for Schema and Data Extraction | 2024 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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