Inconsistency Handling in DatalogMTL
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866915288381915136 |
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| author | Bienvenu, Meghyn Bourgaux, Camille Khodadaditaghanaki, Atefe |
| author_facet | Bienvenu, Meghyn Bourgaux, Camille Khodadaditaghanaki, Atefe |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_10394 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Inconsistency Handling in DatalogMTL Bienvenu, Meghyn Bourgaux, Camille Khodadaditaghanaki, Atefe Logic in Computer Science Artificial Intelligence Databases 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. |
| title | Inconsistency Handling in DatalogMTL |
| topic | Logic in Computer Science Artificial Intelligence Databases |
| url | https://arxiv.org/abs/2505.10394 |