Data Complexity and Rewritability of Ontology-Mediated Queries in Metric Temporal Logic Under the Event-Based Semantics

Abstract

We investigate the data complexity of answering queries mediated by metric temporal logic ontologies under the event-based semantics assuming that data instances are finite timed words timestamped with binary fractions. We identify classes of ontology-mediated queries answering which can be done in AC0, NC1, L, NL, P, and coNP for data complexity, provide their rewritings to first-order logic and its extensions with primitive recursion, transitive closure or datalog, and establish lower complexity bounds.

Cite

Text

Ryzhikov et al. "Data Complexity and Rewritability of Ontology-Mediated Queries in Metric Temporal Logic Under the Event-Based Semantics." International Joint Conference on Artificial Intelligence, 2019. doi:10.24963/IJCAI.2019/256

Markdown

[Ryzhikov et al. "Data Complexity and Rewritability of Ontology-Mediated Queries in Metric Temporal Logic Under the Event-Based Semantics." International Joint Conference on Artificial Intelligence, 2019.](https://mlanthology.org/ijcai/2019/ryzhikov2019ijcai-data/) doi:10.24963/IJCAI.2019/256

BibTeX

@inproceedings{ryzhikov2019ijcai-data,
  title     = {{Data Complexity and Rewritability of Ontology-Mediated Queries in Metric Temporal Logic Under the Event-Based Semantics}},
  author    = {Ryzhikov, Vladislav and Walega, Przemyslaw Andrzej and Zakharyaschev, Michael},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2019},
  pages     = {1851-1857},
  doi       = {10.24963/IJCAI.2019/256},
  url       = {https://mlanthology.org/ijcai/2019/ryzhikov2019ijcai-data/}
}