Context-aware representation of digital twins’ data: The ontology network role

Rico, Mariela; Taverna, María Laura; Galli, Marı́a Rosa; Caliusco, María Laura

doi:10.1016/j.compind.2023.103856

Cited by 9 publications

(3 citation statements)

References 8 publications

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“…In the context of Industry 4.0, Semantic Web contributes to the development of smart manufacturing systems by integrating data from various IoT devices, sensors, and cyberphysical systems, facilitating seamless interaction between machines and humans [10,29,31]. In particular, Semantic Web can help tackle several challenges related to the application of Digital Twin technologies in industry [6,16,22]. C5 Human-Machine Interaction.…”

Section: Introductionmentioning

confidence: 99%

Special Issue on Semantic Web for Industrial Engineering: Research and Applications

Aameri,

Poveda-Villalón,

Sanfilippo

et al. 2024

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Section: Introductionmentioning

confidence: 99%

Special Issue on Semantic Web for Industrial Engineering: Research and Applications

Aameri,

Poveda-Villalón,

Sanfilippo

et al. 2024

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“…Digital twins (DTs) are becoming increasingly popular in the manufacturing industry as they offer the potential for the application of concepts like smart manufacturing, industry 4.0 [1,2], and digital factories [3]. DTs are digital replicas of physical assets, which can be used to improve the speed, quality, and cost efficiency of manufacturing systems.…”

Section: Introductionmentioning

confidence: 99%

Industrial Insights on Digital Twins in Manufacturing: Application Landscape, Current Practices, and Future Needs

D’Amico

Addepalli

Erkoyuncu

2023

BDCC

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The digital twin (DT) research field is experiencing rapid expansion; yet, the research on industrial practices in this area remains poorly understood. This paper aims to address this knowledge gap by sharing feedback and future requirements from the manufacturing industry. The methodology employed in this study involves an examination of a survey that received 99 responses and interviews with 14 experts from 10 prominent UK organisations, most of which are involved in the defence industry in the UK. The survey and interviews explored topics such as DT design, return on investment, drivers, inhibitors, and future directions for DT development in manufacturing. This study’s findings indicate that DTs should possess characteristics such as adaptability, scalability, interoperability, and the ability to support assets throughout their entire life cycle. On average, completed DT projects reach the breakeven point in less than two years. The primary motivators behind DT development were identified to be autonomy, customer satisfaction, safety, awareness, optimisation, and sustainability. Meanwhile, the main obstacles include a lack of expertise, funding, and interoperability. This study concludes that the federation of twins and a paradigm shift in industrial thinking are essential components for the future of DT development.

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“…(iv) A general workflow of cooperation between ELK and GR In addition, many tracks are opened to joint approaches in the current leading topics of research and service development at the crossroads of ELK and GRAPHYP technologies, such as the context-aware representation of digital twins' data [41]. SKG GRAPHYP could offer numerous sandboxes and blackboards in addition to existing uses of ELK in order to explore the numerous interfaces between documentary tracks and ways to discovery by analyzing the possible alternatives in scientific documentation [42].…”

mentioning

confidence: 99%

Elastic Stack and GRAPHYP Knowledge Graph of Web Usage: A Win–Win Workflow for Semantic Interoperability in Decision Making

et al. 2023

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The use of Elastic Stack (ELK) solutions and Knowledge Graphs (KGs) has attracted a lot of attention lately, with promises of vastly improving business performance based on new business insights and better decisions. This allows organizations not only to reap the ultimate benefits of data governance but also to consider the widest possible range of relevant information when deciding their next steps. In this paper, we examine how data management and data visualization are used in organizations that use ELK solutions to collect integrated data from different sources in one place and visualize and analyze them in near-real time. We also present some interpretable Knowledge Graphs, GRAPHYP, which are innovative by processing an analytical information geometry and can be used together with an ELK to improve data quality and visualize the data to make informed decisions in organizations. Good decisions are the backbone of successful organizations. Ultimately, this research is about integrating a combined solution between ELK and SKG GRAPHYP and showing users the advantages in this area.

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Context-aware representation of digital twins’ data: The ontology network role

Cited by 9 publications

References 8 publications

Special Issue on Semantic Web for Industrial Engineering: Research and Applications

Special Issue on Semantic Web for Industrial Engineering: Research and Applications

Industrial Insights on Digital Twins in Manufacturing: Application Landscape, Current Practices, and Future Needs

Elastic Stack and GRAPHYP Knowledge Graph of Web Usage: A Win–Win Workflow for Semantic Interoperability in Decision Making

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