Finding What You’re Looking For: A Distribution-Aware Dataset Search Engine in Action
Summary: End-to-end distribution-aware dataset search over decentralized, metadata-only repositories. Introduces Dataset Query Language and a distribution-aware index with percentile predicates for efficient, flexible search without raw data; validated on 150k Kaggle dataset profiles. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Lennart Behme (Berlin Institute for the Foundations of Learning and Data; Technical University of Berlin)
- 2. Leonard Geißler (Technical University of Berlin)
- 3. Pratham Agrawal (Indian Institute of Technology Delhi)
- 4. Emil Badura (Technical University of Berlin)
- 5. Benjamin Ueber (Technical University of Berlin)
- 6. Kaustubh Beedkar (Indian Institute of Technology Delhi)
- 7. Volker Markl (Berlin Institute for the Foundations of Learning and Data; German National Research Center for Information Technology; Technical University of Berlin)
BibTeX Citation
@inproceedings{behme_sigmod25,
title = {{Finding What You’re Looking For: A Distribution-Aware Dataset Search Engine in Action}},
author = {Behme, Lennart and Geißler, Leonard and Agrawal, Pratham and Badura, Emil and Ueber, Benjamin and Beedkar, Kaustubh and Markl, Volker},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725104},
url = {https://dl.acm.org/doi/10.1145/3722212.3725104},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,542 | Aegis: A Correlation-Based Data Masking Advisor for Data-Sharing Ecosystems | 2026 | SIGMOD | 4.9793485e-05 |
| 10,816 | FedAugment: Table Augmentation Search over Decentralized Data Repositories | 2026 | VLDB | 4.9793485e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,336 | Auctus: A Dataset Search Engine for Data Discovery and Augmentation | 2021 | VLDB | 0.00010988669 |
| 5,414 | Towards Distribution-aware Query Answering in Data Markets | 2022 | VLDB | 6.1399858e-05 |
| 9,025 | Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search | 2024 | VLDB | 5.2346997e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 14,171 | Why Search Engines are used increasingly to Offload Queries from Databases | 2005 | VLDB |
| 2 | 5,414 | Towards Distribution-aware Query Answering in Data Markets | 2022 | VLDB |
| 3 | 14,021 | Integrating Keyword Search with Multiple Dimension Tree Views over a Summary Corpus Data Cube | 2010 | SIGMOD |
| 4 | 765 | Table Union Search on Open Data | 2018 | VLDB |
| 5 | 8,528 | A Demonstration of KGLac: A Data Discovery and Enrichment Platform for Data Science | 2021 | VLDB |
| 6 | 10,816 | FedAugment: Table Augmentation Search over Decentralized Data Repositories | 2026 | VLDB |
| 7 | 9,510 | DataSift: A Crowd-Powered Search Toolkit | 2014 | SIGMOD |
| 8 | 9,025 | Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search | 2024 | VLDB |
| 9 | 11,081 | A Theoretical Framework for Distribution-Aware Dataset Search | 2025 | PODS |
| 10 | 6,474 | When the Web is your Data Lake: Creating a Search Engine for Datasets on the Web | 2020 | SIGMOD |