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What do Shannon-type Inequalities, Submodular Width, and Disjunctive Datalog have to do with one another?

Summary: Relates Shannon-type (Shannon flow) information inequalities to output-size bounds for disjunctive Datalog (generalizing CQs) under FDs, degree and input-cardinality bounds via “proof sequences”. Uses these sequences to drive PANDA, yielding algorithms that match fractional hypertree and exactly submodular-width runtimes. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1716
Venue
PODS
Year
2017
Pagerank
0.00012142685
Overall Rank
1,109 | 92.40%
DOI
10.1145/3034786.3056105

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{khamis_pods17,
        address = {New York, NY, USA},
        series = {{PODS} '17},
        title = {{What do Shannon-type Inequalities, Submodular Width, and Disjunctive Datalog have to do with one another?}},
        url = {https://dl.acm.org/doi/10.1145/3034786.3056105},
        doi = {10.1145/3034786.3056105},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Khamis, Mahmoud Abo and Ngo, Hung Q. and Suciu, Dan},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 52 citing papers.

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11,183 Relational Algorithms for Top-k Query Evaluation 2024 SIGMOD 5.093636e-05
11,902 Tighter Upper Bounds for Join Cardinality Estimates 2018 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

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