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GRN Model of Probabilistic Databases: Construction, Transition and Querying

Summary: Proposes Generator-Recognizer Network (GRN) as a tuple-level uncertainty model for probabilistic databases, enabling richer dependency representations than prior formalisms. Defines constraint- and query-induced transitions that preserve GRN form, delivering a closed, self-contained framework with a systematic construction path and improved query evaluation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4314
Venue
SIGMOD
Year
2010
Pagerank
5.093636e-05
Overall Rank
12,417 | 14.81%
DOI
10.1145/1807167.1807201

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BibTeX Citation

@inproceedings{chen_sigmod10,
        title = {{GRN Model of Probabilistic Databases: Construction, Transition and Querying}},
        author = {Chen, Ruiwen and Mao, Yongyi and Kiringa, Iluju},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807201},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807201},
        year = {2010}
}

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