Engineering Interoperable Ecosystems of Digital Twins: A Web-based Approach
Digital Twins have been primarily developed and used to virtualize individual standalone physical assets, resulting in vertical application stacks. Going beyond this perspective, recent proposals envision ecosystems of connected digital twins that virtualize complex realities composed of a multitude of heterogeneous but interrelated physical assets — possibly belonging to different domains. This vision puts forth a number of engineering challenges, at the center of which is the capability of integrating digital twins developed with heterogeneous technologies. To this end, in this paper, we propose and discuss an approach based on Web standards and technologies for creating interoperable ecosystems of digital twins that applications can access and exploit as a service while being agnostic to the underlying heterogeneous technologies.
Presentation slides (presentation_2024_edtconf_hwodt.pdf) | 1.4MiB |
Tue 24 SepDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
14:00 - 15:30 | Session 7: Digital Twins: AI & ARTechnical Track at HS 18 Chair(s): Bianca Wiesmayr LIT CPS Lab, Johannes Kepler University Linz | ||
14:00 20mPaper | AI Simulation by Digital Twins: Systematic Survey of the State of the Art and a Reference Framework Technical Track | ||
14:20 20mPaper | Engineering Interoperable Ecosystems of Digital Twins: A Web-based Approach Technical Track Andrea Giulianelli Alma Mater Studiorum - Università di Bologna, Samuele Burattini Alma Mater Studiorum - University of Bologna, Andrei Ciortea University of St. Gallen, Alessandro Ricci University of Bologna, Italy File Attached | ||
14:40 15mShort-paper | Towards Ontological Service-Driven Engineering of Digital TwinsEDTconf Best Short & Tool Paper Technical Track Bentley Oakes Polytechnique Montréal, Claudio Gomes Aarhus University, Denmark, Eduard Kamburjan University of Oslo, Giuseppe Abbiati Aarhus University, Elif Ecem Bas R&D Test Systems, Sebastian Engelsgaard LORC DOI Pre-print File Attached | ||
14:55 15mDemonstration | Practical design and implementation of an augmented reality based digital twin Technical Track Lionel Protin Luxembourg Institute of Sciences and Technology, Wassila Aggoune-Mtalaa Luxembourg Institute of Sciences and Technology, Carlos Kavka Luxembourg Institute of Sciences and Technology | ||
15:10 15mShort-paper | Engineering a Digital Twin for Diagnosis and Treatment of Multiple Sclerosis Technical Track Giordano d'Aloisio University of L'Aquila, Alessandro Di Matteo University of L'Aquila, Alessia Cipriani Sacro Cuore Catholic University of Rome, Daniele Lozzi University of L'Aquila, Enrico Mattei University of L'Aquila, Gennaro Zanfardino University of L'Aquila, Antinisca Di Marco University of L'Aquila, Giuseppe Placidi University of L'Aquila |