KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing
Summary: Katara is a data cleaning system powered by knowledge bases and crowdsourcing that interprets table semantics to align data with KBs and identify correct versus incorrect values. It then outputs top-k repairs and demonstrates scalable, cross-domain applicability with efficient, crowd-assisted annotation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xu Chu (University of Waterloo)
- 2. John Morcos (University of Waterloo)
- 3. Ihab F. Ilyas (University of Waterloo)
- 4. Mourad Ouzzani (Qatar Computing Research Institute)
- 5. Paolo Papotti (Qatar Computing Research Institute)
- 6. Nan Tang (Qatar Computing Research Institute)
- 7. Yin Ye (Qatar Computing Research Institute)
BibTeX Citation
@inproceedings{chu_sigmod15,
title = {{KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing}},
author = {Chu, Xu and Morcos, John and Ilyas, Ihab F. and Ouzzani, Mourad and Papotti, Paolo and Tang, Nan and Ye, Yin},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2749431},
url = {https://dl.acm.org/doi/10.1145/2723372.2749431},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
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