Ontology-Mediated Probabilistic Model Checking

Clemens Dubslaff, Patrick Koopmann, Anni-Yasmin Turhan

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Probabilistic model checking (PMC) is a well-established method for the quantitative analysis of dynamic systems. Description logics (DLs) provide a well-suited formalism to describe and reason about terminological knowledge, used in many areas to specify background knowledge on the domain. We investigate how such knowledge can be integrated into the PMC process, introducing ontology-mediated PMC. Specifically, we propose a formalism that links ontologies to dynamic behaviors specified by guarded commands, the de-facto standard input formalism for PMC tools such as Prism. Further, we present and implement a technique for their analysis relying on existing DL-reasoning and PMC tools. This way, we enable the application of standard PMC techniques to analyze knowledge-intensive systems. Our approach is implemented and evaluated on a multi-server system case study, where different DL-ontologies are used to provide specifications of different server platforms and situations the system is executed in.
Original languageEnglish
Title of host publicationIntegrated Formal Methods - 15th International Conference, IFM 2019, Proceedings
EditorsW. Ahrendt, S. Tapia Tarifa
PublisherSpringer
Pages194-211
ISBN (Print)9783030349677
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event15th International Conference on Integrated Formal Methods, IFM 2019 - Bergen, Norway
Duration: 2 Dec 20196 Dec 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Integrated Formal Methods, IFM 2019
Country/TerritoryNorway
CityBergen
Period2/12/196/12/19

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