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Inference of Monotonicity Constraints in Datalog Programs (Extended Abstract)

Summary: Infers monotonicity constraints (argumentwise partial-order inequalities) in Datalog: given EDB predicates satisfying a domain partial order, computes all monotonicity/equality-disjunction constraints entailed for IDB relations. Gives complete algorithms and complexity—EXPTIME-complete in general, PSPACE-complete for linear programs. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
864
Venue
PODS
Year
1989
Pagerank
8.3906191e-05
Overall Rank
2,579 | 82.31%
DOI
10.1145/73721.73741

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{brodsky_pods89,
        address = {New York, NY, USA},
        series = {{PODS} '89},
        title = {{Inference of Monotonicity Constraints in Datalog Programs (Extended Abstract)}},
        url = {https://dl.acm.org/doi/10.1145/73721.73741},
        doi = {10.1145/73721.73741},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Brodsky, Alexander and Sagiv, Yehoshua},
        year = {1989}
}

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