Generative Datalog with Stable Negation
Summary: Adds negation to generative Datalog using stable-model semantics, increasing expressivity of declarative probabilistic programs over relational DBs. Provides a robust probabilistic semantics by defining probability spaces over stable minimal models and resolving existence/robustness issues. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Mario Alviano (University of Calabria)
- 2. Matthias Lanzinger (University of Oxford)
- 3. Michael Morak (University of Klagenfurt)
- 4. Andreas Pieris (University of Cyprus; University of Edinburgh)
BibTeX Citation
@inproceedings{alviano_pods23,
address = {New York, NY, USA},
series = {{PODS} '23},
title = {{Generative Datalog with Stable Negation}},
url = {https://dl.acm.org/doi/10.1145/3584372.3588656},
doi = {10.1145/3584372.3588656},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Alviano, Mario and Lanzinger, Matthias and Morak, Michael and Pieris, Andreas},
year = {2023}
}
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,590 | On Probabilistic Fixpoint and Markov Chain Query Languages | 2010 | PODS | 7.2801454e-05 |
| 6,001 | Generative Datalog with Continuous Distributions | 2020 | PODS | 6.0133202e-05 |
| 11,968 | Stable Model Semantics for Tuple-Generating Dependencies Revisited | 2017 | PODS | 5.093636e-05 |
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