Metric Temporal Description Logics with Interval-Rigid Names

Franz Baader, Stefan Borgwardt, Patrick Koopmann, Ana Ozaki, Veronika Thost

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

In contrast to qualitative linear temporal logics, which can be used to state that some property will eventually be satisfied, metric temporal logics allow us to formulate constraints on how long it may take until the property is satisfied. While most of the work on combining description logics (DLs) with temporal logics has concentrated on qualitative temporal logics, there is a growing interest in extending this work to the quantitative case. In this article, we complement existing results on the combination of DLs with metric temporal logics by introducing interval-rigid concept and role names. Elements included in an interval-rigid concept or role name are required to stay in it for some specified amount of time. We investigate several combinations of (metric) temporal logics with Aĝ.,'C by either allowing temporal operators only on the level of axioms or also applying them to concepts. In contrast to most existing work on the topic, we consider a timeline based on the integers and also allow assertional axioms. We show that the worst-case complexity does not increase beyond the previously known bound of 2-ExpSpace and investigate in detail how this complexity can be reduced by restricting the temporal logic and the occurrences of interval-rigid names.
Original languageEnglish
Article number30
JournalACM Transactions on Computational Logic
Volume21
Issue number4
DOIs
Publication statusPublished - 1 Oct 2020
Externally publishedYes

Funding

This work was partially supported by the DFG in the CRC 912 (HAEC), the project BA 1122/19-1 (GOASQ), the Cluster of Excellence “Center for Advancing Electronics Dresden” (cfaed), and grant 389792660 (https://www.perspicuous-computing. science/) (TRR 248, Center for Perspicuous Computing). Authors’ addresses: F. Baader, S. Borgwardt, P. Koopmann, Institute of Theoretical Computer Science, Technische Univer-sität Dresden, Fakultät Informatik, Nöthnitzer Str. 46, 01187 Dresden, Germany; emails: {franz.baader, stefan.borgwardt, patrick.koopmann}@tu-dresden.de; A. Ozaki, Department of Informatics, University of Bergen, Postboks 7803, 5020 Bergen, Norway and KRDB Research Centre, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy; email: [email protected]; V. Thost, MIT-IBM Watson AI Lab, 75 Binney Street, Cambridge, MA, 02142, USA; email: [email protected]. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]. © 2020 Copyright held by the owner/author(s). Publication rights licensed to ACM. 1529-3785/2020/08-ART30 $15.00 https://doi.org/10.1145/3399443

FundersFunder number
HAEC389792660, BA 1122/19-1
Deutsche Forschungsgemeinschaft

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