Inconsistency Handling in DatalogMTL
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Abstract (arXiv)
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.
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References · 4
- 2017Querying Log Data with Metric Temporal Logic (Technical Report)cited by 10
- 2022MeTeoR: Practical Reasoning in Datalog with Metric Temporal Operatorscited by 7
- 2019Data Complexity and Rewritability of Ontology-Mediated Queries in Metric Temporal Logic under the Event-Based Semantics (Full Version)cited by 5
- 2023The Stable Model Semantics of Datalog with Metric Temporal Operatorscited by 2
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