Ontologies in digital twins: A systematic literature review

Karabulut, Erkan; Pileggi, Salvatore F.; Groth, Paul; Degeler, Victoria

doi:10.1016/j.future.2023.12.013

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2024

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Cited by 20 publications

(1 citation statement)

References 73 publications

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“…At the same time, such areas of the intellectualization of information and data processing as machine learning [5,6], cognitive computing [7,8], big data, deep learning [9,10], semantic WEB [11,12] and others are in active development, which enable us to solve new classes of problems based on the available information resources [13,14].…”

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confidence: 99%

Advancements in AI-Based Information Technologies: Solutions for Quality and Security

Hovorushchenko,

Izonin,

Kutucu

2024

Systems

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mentioning

confidence: 99%

Advancements in AI-Based Information Technologies: Solutions for Quality and Security

Hovorushchenko,

Izonin,

Kutucu

2024

Systems

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Semantic Reflection and Digital Twins: A Comprehensive Overview

Kamburjan,

Pferscher,

Schlatte

et al. 2024

Lecture Notes in Computer Science

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DiTEC: Digital Twin for Evolutionary Changes in Water Distribution Networks

Degeler,

Hadadian,

Karabulut

et al. 2024

Lecture Notes in Computer Science

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Conventional digital twins (DT) for critical infrastructures are widely used to model and simulate the system’s state. But fundamental environment changes bring challenges for DT adaptation to new conditions, leading to a progressively decreasing correspondence of the DT to its physical counterpart. This paper introduces the DiTEC system, a Digital Twin for Evolutionary Changes in Water Distribution Networks (WDN). This framework combines novel techniques, including semantic rule learning, graph neural network-based state estimation, and adaptive model selection, to ensure that changes are adequately detected, processed and the DT is updated to the new state. The DiTEC system is tested on the Dutch Oosterbeek region WDN, with results showing the superiority of the approach compared to traditional methods.

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Ontologies in digital twins: A systematic literature review

Cited by 20 publications

References 73 publications

Advancements in AI-Based Information Technologies: Solutions for Quality and Security

Advancements in AI-Based Information Technologies: Solutions for Quality and Security

Semantic Reflection and Digital Twins: A Comprehensive Overview

DiTEC: Digital Twin for Evolutionary Changes in Water Distribution Networks

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