Query Answering Techniques on Uncertain and Probabilistic Data
Summary: Reviews models and possible-world semantics for uncertain/probabilistic data. Presents query answering techniques, including algorithms and index structures for range and ranking queries, with future directions. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jian Pei (Simon Fraser University)
- 2. Ming Hua (Simon Fraser University)
- 3. Yufei Tao (Chinese University of Hong Kong)
- 4. Xuemin Lin (University of New South Wales)
BibTeX Citation
@inproceedings{pei_sigmod08,
title = {{Query Answering Techniques on Uncertain and Probabilistic Data}},
author = {Pei, Jian and Hua, Ming and Tao, Yufei and Lin, Xuemin},
series = {{SIGMOD} '08},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1376616.1376774},
url = {https://dl.acm.org/doi/10.1145/1376616.1376774},
year = {2008}
}
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