Reasoning techniques in DatalogMTL

DatalogMTL is a recently introduced extension of Datalog with operators from metric temporal logic (MTL). It allows for performing complex temporal reasoning tasks over the rational timeline, which makes it suitable for many practical applications. Although the main reasoning tasks in DatalogMTL are...

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Main Authors: Wałega, PA, Zawidzki, M, Cuenca Grau, B
Format: Conference item
Language:English
Published: CEUR Workshop Proceedings 2022
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author Wałega, PA
Zawidzki, M
Cuenca Grau, B
author_facet Wałega, PA
Zawidzki, M
Cuenca Grau, B
author_sort Wałega, PA
collection OXFORD
description DatalogMTL is a recently introduced extension of Datalog with operators from metric temporal logic (MTL). It allows for performing complex temporal reasoning tasks over the rational timeline, which makes it suitable for many practical applications. Although the main reasoning tasks in DatalogMTL are decidable, they have high computational complexity, and so, developing practically efficient reasoning techniques is challenging. Consequently, a number of approaches have been recently established; some of them have already been implemented and tested experimentally, but no comparison of these techniques has been provided yet. To fill this gap, we present an overview of reasoning techniques in DatalogMTL, sketch relations between them, and discuss their properties. Moreover, we present our ongoing research in this area and possible future directions thereof.
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spelling oxford-uuid:5ad1df3d-7a4c-496d-a9ed-0830e3e886392023-02-15T11:35:29ZReasoning techniques in DatalogMTLConference itemhttp://purl.org/coar/resource_type/c_5794uuid:5ad1df3d-7a4c-496d-a9ed-0830e3e88639EnglishSymplectic ElementsCEUR Workshop Proceedings2022Wałega, PAZawidzki, MCuenca Grau, BDatalogMTL is a recently introduced extension of Datalog with operators from metric temporal logic (MTL). It allows for performing complex temporal reasoning tasks over the rational timeline, which makes it suitable for many practical applications. Although the main reasoning tasks in DatalogMTL are decidable, they have high computational complexity, and so, developing practically efficient reasoning techniques is challenging. Consequently, a number of approaches have been recently established; some of them have already been implemented and tested experimentally, but no comparison of these techniques has been provided yet. To fill this gap, we present an overview of reasoning techniques in DatalogMTL, sketch relations between them, and discuss their properties. Moreover, we present our ongoing research in this area and possible future directions thereof.
spellingShingle Wałega, PA
Zawidzki, M
Cuenca Grau, B
Reasoning techniques in DatalogMTL
title Reasoning techniques in DatalogMTL
title_full Reasoning techniques in DatalogMTL
title_fullStr Reasoning techniques in DatalogMTL
title_full_unstemmed Reasoning techniques in DatalogMTL
title_short Reasoning techniques in DatalogMTL
title_sort reasoning techniques in datalogmtl
work_keys_str_mv AT wałegapa reasoningtechniquesindatalogmtl
AT zawidzkim reasoningtechniquesindatalogmtl
AT cuencagraub reasoningtechniquesindatalogmtl