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

doi:10.1007/978-3-031-39689-2_5

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

Institute of Software Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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.

Original language	English
Title of host publication	34th International Conference, Workshops , Database and Expert Systems Applications (DEXA), Penang, Malaysia
Editors	Springer
Pages	45-56
Number of pages	12
Volume	1872
DOIs	https://doi.org/10.1007/978-3-031-39689-2_5
Publication status	Published - Aug 2023

Fields of science

102 Computer Sciences
102022 Software development

JKU Focus areas

Digital Transformation

Access to Document

10.1007/978-3-031-39689-2_5

Cite this

@inproceedings{49af715a444f46d8b37baeb248e03967,

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

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{\textquoteright}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.",

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A Context Ontology-Based Model to Mitigate Root Causes of Uncertainty in Cyber-Physical Systems. / Asmat, Mah Noor; Khan, Saif Ur Rehman; Mashkoor, Atif et al.
34th International Conference, Workshops , Database and Expert Systems Applications (DEXA), Penang, Malaysia. ed. / Springer. Vol. 1872 2023. p. 45-56.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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AB - 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.

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