IJCAI 2023poster7 citations
Reverse Engineering of Temporal Queries Mediated by LTL Ontologies
Marie Fortin, Boris Konev, Vladislav Ryzhikov, Yury Savateev, Frank Wolter, Michael Zakharyaschev
Abstract
In reverse engineering of database queries, we aim to construct a query from a given set of answers and non-answers; it can then be used to explore the data further or as an explanation of the answers and non-answers. We investigate this query-by-example problem for queries formulated in positive fragments of linear temporal logic LTL over timestamped data, focusing on the design of suitable query languages and the combined and data complexity of deciding whether there exists a query in the given language that separates the given answers from non-answers. We consider both plain LTL queries and those mediated by LTL ontologies.
Knowledge Representation and Reasoning: KRR: Computational complexity of reasoningKnowledge Representation and Reasoning: KRR: Description logics and ontologiesKnowledge Representation and Reasoning: KRR: Qualitative, geometric, spatial, and temporal reasoning
BibTeX
@inproceedings{ijcai2023p360,
title = {Reverse Engineering of Temporal Queries Mediated by LTL Ontologies},
author = {Fortin, Marie and Konev, Boris and Ryzhikov, Vladislav and Savateev, Yury and Wolter, Frank and Zakharyaschev, Michael},
booktitle = {Proceedings of the Thirty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-23}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Edith Elkind},
pages = {3230--3238},
year = {2023},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2023/360},
url = {https://doi.org/10.24963/ijcai.2023/360},
}