Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

A Context Ontology-Based Model to Mitigate Root Causes of Uncertainty in Cyber-Physical Systems

  • Mah Noor Asmat
  • , Saif Ur Rehman Khan
  • , Atif Mashkoor
  • , Irum Inayat

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

A Cyber-Physical System (CPS) is a networked collection of diverse physical elements that perform complex operations to achieve a certain goal. To ensure the quality and reliability of a CPS, uncertainty is regarded as one of the crucial challenges that need to be effectively handled. However, the current state-of-the-art lacks in focusing on handling the root causes of uncertainty in the context of CPS. This study proposes a Context Ontology-based Uncertainty Mitigation (COUM) model to mitigate uncertainty during the early phases of CPS’s software development life cycle like requirement elicitation. The proposed COUM model intends to identify and mitigate the root causes of uncertainty to improve the dependability of CPS. The COUM model is applied to the Care-o-Bot system to address its uncertainties and increase its reliability.
OriginalspracheEnglisch
Titel34th International Conference, Workshops , Database and Expert Systems Applications (DEXA), Penang, Malaysia
Herausgeber*innenGabriele Kotsis, Ismail Khalil, Atif Mashkoor, Johannes Sametinger, A Min Tjoa, Bernhard Moser, Maqbool Khan
Seiten45-56
Seitenumfang12
Band1872
DOIs
PublikationsstatusVeröffentlicht - Aug. 2023

Publikationsreihe

NameCommunications in Computer and Information Science
Band1872 CCIS
ISSN (Print)1865-0929
ISSN (elektronisch)1865-0937

Wissenschaftszweige

  • 102 Informatik
  • 102022 Softwareentwicklung

JKU-Schwerpunkte

  • Digital Transformation

Dieses zitieren