When the Web is your Data Lake: Creating a Search Engine for Datasets on the Web
Summary: Dataset Search enables discovery of datasets across the Web, spanning government and research data providers. It proposes an open metadata/citation ecosystem and outlines a scalable, heterogeneous search architecture that treats data as a first-class citizen. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Natasha Noy (Google)
BibTeX Citation
@inproceedings{noy_sigmod20,
title = {{When the Web is your Data Lake: Creating a Search Engine for Datasets on the Web}},
author = {Noy, Natasha},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3393815},
url = {https://dl.acm.org/doi/10.1145/3318464.3393815},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,197 | Cross Modal Data Discovery over Structured and Unstructured Data Lakes | 2023 | VLDB | 5.5890662e-05 |
| 10,337 | QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes | 2025 | VLDB | 5.0200193e-05 |
| 11,390 | A Demonstration of QueryArtisan: Real-Time Data Lake Analysis via Dynamically Generated Data Manipulation Code | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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