Constance: An Intelligent Data Lake System
Summary: Constance is an intelligent data lake with metadata harvesting across heterogeneous sources and semantic annotation to prevent data swamps. Embedded query rewriting for structured and semi-structured data yields a unified interface for processing and exploration. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rihan Hai (RWTH Aachen University)
- 2. Sandra Geisler (RWTH Aachen University)
- 3. Christoph Quix (Fraunhofer Institute)
BibTeX Citation
@inproceedings{hai_sigmod16,
title = {{Constance: An Intelligent Data Lake System}},
author = {Hai, Rihan and Geisler, Sandra and Quix, Christoph},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2899389},
url = {https://dl.acm.org/doi/10.1145/2882903.2899389},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,977 | Data Wrangling: The Challenging Journey from the Wild to the Lake | 2015 | CIDR | 9.2730808e-05 |
| 3,723 | Schema Management for Document Stores | 2015 | VLDB | 7.0706017e-05 |
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