Tutorials
The role of the tutorials is to provide a platform for a more intensive scientific exchange amongst researchers interested in a particular topic and as a meeting point for the community. Tutorials complement the depth-oriented technical sessions by providing participants with broad overviews of emerging fields. A tutorial can be scheduled for 1.5 or 3 hours.
Tutorial on
Ontologies for Digital Twins
Instructor
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Fatma Chamekh
BRGM
France
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Brief Bio
Fatma Chamekh holds PHD in computer science at Lyon University. Her studies are focused on semantic web and symbolic IA for intelligent systems. He gets 10 years experience as professor assistant and research assistant in knowledge engeneering. Actually, she works on BRGM. Her areas of interest are: semantic web, knowledge reasoning, NLP, knowledge graph, LLM, digital Twin.
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Abstract
A digital twin (DT) is a digital model of an intended or actual real-world physical system (or systems), that serves to predict, to understand or to simulate a what-if scenario. DTs are used in several contexts and fields, such as business, healthcare, manufacturing, agriculture, natural risks, and the management of the subsurface. There are different contexts and approaches to designing DTs, without clear consensus on specific engineering processes and workflows. There are some gaps in the data and uncertainty inducing flaw representation through digital twin. Ontologies are a promising way to structure data and flow.
Keywords
digital twins, simulation, ontologies
Aims and Learning Objectives
The goal of this Tutorial is to provide the audience with an understanding of the importance of the semantic layer for digital twins. We present the main components (logical and physical) of digital twins among several examples coming from research projects.
Target Audience
Researchers and Industrials
Prerequisite Knowledge of Audience
None
Detailed Outline
Digital twin: definition and principals
Digital Twin: logical component
Digital Twin: physical component
The ontologies for digital twins
Conclusion and future direction