DBScholar

Back to papers

CLAMS: Bringing Quality to Data Lakes

Summary: CLAMS discovers and enforces expressive integrity constraints from lake data with limited schema, inferring schemas and constraints from RDF-like triples. It scales out, supports human-in-the-loop validation and repair, demonstrated on a real enterprise lake with 1.2B triples. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5225
Venue
SIGMOD
Year
2016
Pagerank
6.8355878e-05
Overall Rank
4,201 | 71.18%
DOI
10.1145/2882903.2899391

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{farid_sigmod16,
        title = {{CLAMS: Bringing Quality to Data Lakes}},
        author = {Farid, Mina and Roatis, Alexandra and Ilyas, Ihab F. and Hoffmann, Hella-Franziska and Chu, Xu},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2899391},
        url = {https://dl.acm.org/doi/10.1145/2882903.2899391},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Previous Page 1 / 1 Next

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
376 Discovering Denial Constraints 2013 VLDB 0.00019677674
4,890 Descriptive and Prescriptive Data Cleaning 2014 SIGMOD 6.4590072e-05
Previous Page 1 / 1 Next

Semantically Similar Papers