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

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Database and Expert Systems Applications - DEXA 2023 Workshops (DEXA 2023)

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.

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Correspondence to Mah Noor Asmat .

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Asmat, M.N., Khan, S.U.R., Mashkoor, A., Inayat, I. (2023). A Context Ontology-Based Model to Mitigate Root Causes of Uncertainty in Cyber-Physical Systems. In: Kotsis, G., et al. Database and Expert Systems Applications - DEXA 2023 Workshops. DEXA 2023. Communications in Computer and Information Science, vol 1872. Springer, Cham. https://doi.org/10.1007/978-3-031-39689-2_5

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  • DOI: https://doi.org/10.1007/978-3-031-39689-2_5

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