WoTwins: Automatic Digital Twin Generator for the Web of Things Article Swipe
Luca Sciullo
,
Angelo Trotta
,
Federico Montori
,
Luciano Bononi
,
Marco Di Felice
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/wowmom54355.2022.00095
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/wowmom54355.2022.00095
Digital Twins are crucial in Industry 4.0 IoT scenarios, as they replicate physical assets and enable important tasks such as predictive analytics, what-if scenarios and real time monitoring. The heterogeneity of IoT use cases usually makes the development of digital twins extremely application-specific as well as prone to interoperability issues. To overcome these two challenges, we propose WoTwins, a framework that, on one side, leverages the W3C Web of Things (WoT) standard to model data and entities, and, on the other side, generates automatically Digital Twins of existing Web Things by modeling their state space through a Markov Decision Process (MDP) graph and by predicting its behavior though Machine Learning techniques. We conduct experiments on a simulated use cases related to IoT robotics to evaluate our proposal
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/wowmom54355.2022.00095
- OA Status
- green
- Cited By
- 7
- References
- 12
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4292075323Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/wowmom54355.2022.00095Digital Object Identifier
- Title
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WoTwins: Automatic Digital Twin Generator for the Web of ThingsWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-06-01Full publication date if available
- Authors
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Luca Sciullo, Angelo Trotta, Federico Montori, Luciano Bononi, Marco Di FeliceList of authors in order
- Landing page
-
https://doi.org/10.1109/wowmom54355.2022.00095Publisher landing page
- Open access
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YesWhether a free full text is available
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-
greenOpen access status per OpenAlex
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https://ieeexplore.ieee.org/document/9842775Direct OA link when available
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Computer science, Interoperability, Internet of Things, Analytics, Machine learning, Graph, Generator (circuit theory), Process (computing), Artificial intelligence, Data science, World Wide Web, Theoretical computer science, Power (physics), Operating system, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
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2025: 2, 2024: 1, 2023: 4Per-year citation counts (last 5 years)
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12Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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