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ProApproX: A Lightweight Approximation Query Processor over Probabilistic Trees

Summary: ProApproX: a lightweight approximation query processor for probabilistic XML trees. Provides exact and approximate XPath query techniques, enabling runtime trade-offs analysis on efficiency, precision, and supported data models and query language. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4557
Venue
SIGMOD
Year
2011
Pagerank
5.2215187e-05
Overall Rank
9,677 | 33.84%
DOI
10.1145/1989323.1989480

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{senellart_sigmod11,
        title = {{ProApproX: A Lightweight Approximation Query Processor over Probabilistic Trees}},
        author = {Senellart, Pierre and Souihli, Asma},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989480},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989480},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,378 Answering Queries using Views over Probabilistic XML: Complexity and Tractability 2012 VLDB 5.0723324e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
3,332 On the Complexity of Managing Probabilistic XML Data 2007 PODS 7.4934257e-05
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