Summary of Foundations For Digital Twins, by Finn Wilson et al.
Foundations for Digital Twins
by Finn Wilson, Regina Hurley, Dan Maxwell, Jon McLellan, John Beverley
First submitted to arxiv on: 2 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Databases (cs.DB); Information Theory (cs.IT)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel approach for addressing semantic interoperability challenges in digital twins is proposed, leveraging the Common Core Ontologies (CCO) and Basic Formal Ontology (BFO). The authors introduce definitions and design patterns for characterizing digital twins within the CCO framework. This research provides a foundation for developing more advanced ontological content related to digital twins. The approach is demonstrated through illustrative use cases of digital twins and their physical counterparts. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Digital twins are increasingly important in many industries, but they create a challenge: how do different systems understand what they mean? Ontologies are one way to solve this problem, but it’s not perfect. To avoid making things worse, researchers have created definitions and patterns for describing digital twins using the Common Core Ontologies (CCO) and Basic Formal Ontology (BFO). This helps us build a better understanding of digital twins and how they relate to their physical counterparts. |
