Inconsistency Handling in DatalogMTL
Abstract
In this paper, we explore the issue of inconsistency handling in DatalogMTL, an extension of Datalog with metric temporal operators. Since facts are associated with time intervals, there are different manners to restore consistency when they contradict the rules, such as removing facts or modifying their time intervals. Our first contribution is the definition of relevant notions of conflicts (minimal explanations for inconsistency) and repairs (possible ways of restoring consistency) for this setting and the study of the properties of these notions and the associated inconsistency-tolerant semantics. Our second contribution is a data complexity analysis of the tasks of generating a single conflict / repair and query entailment under repair-based semantics.
Cite
Text
Bienvenu et al. "Inconsistency Handling in DatalogMTL." International Joint Conference on Artificial Intelligence, 2025. doi:10.24963/IJCAI.2025/487Markdown
[Bienvenu et al. "Inconsistency Handling in DatalogMTL." International Joint Conference on Artificial Intelligence, 2025.](https://mlanthology.org/ijcai/2025/bienvenu2025ijcai-inconsistency/) doi:10.24963/IJCAI.2025/487BibTeX
@inproceedings{bienvenu2025ijcai-inconsistency,
title = {{Inconsistency Handling in DatalogMTL}},
author = {Bienvenu, Meghyn and Bourgaux, Camille and Khodadaditaghanaki, Atefe},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2025},
pages = {4374-4381},
doi = {10.24963/IJCAI.2025/487},
url = {https://mlanthology.org/ijcai/2025/bienvenu2025ijcai-inconsistency/}
}