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ACID: A System for Computing Approximate Certain Query Answers over Incomplete Databases

Summary: ACID Demo provides polynomial-time, sound approximations of certain answers for incomplete databases via conditional tables and conditional evaluation of relational algebra. The platform offers multiple strategies that trade efficiency for higher accuracy, enabling researchers to select the balance between speed and result quality. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5580
Venue
SIGMOD
Year
2018
Pagerank
6.0331149e-05
Overall Rank
5,943 | 59.23%
DOI
10.1145/3183713.3193557

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{fiorentino_sigmod18,
        title = {{ACID: A System for Computing Approximate Certain Query Answers over Incomplete Databases}},
        author = {Fiorentino, Nicola and Greco, Sergio and Molinaro, Cristian and Trubitsyna, Irina},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3193557},
        url = {https://dl.acm.org/doi/10.1145/3183713.3193557},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
5,378 Troubles with Nulls, Views from the Users 2022 VLDB 6.2406439e-05
8,837 Coping with Incomplete Data: Recent Advances 2020 PODS 5.3596619e-05
9,193 Query-Guided Resolution in Uncertain Databases 2023 SIGMOD 5.3058708e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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