KEYNOTE SPEAKER

The Role of Ontology and Knowledge Representation in the Development of Digital Twins

Sina Namaki Araghi National Engineering School of Tarbes France

Brief Bio
Sina Namaki Araghi holds a Ph.D. at the industrial engineering center of IMT Mines d'Albi-Carmaux, University of Toulouse in France. His studies are focused on Industrial Engineering and System Analyzing. He has a master degree in industrial engineering and system analyzing from the University of Bordeaux in France, and he got his bachelor degree in the same area from the K.N. Toosi University of Technology in Tehran, IRAN. His areas of interest are Process Mining, Statistical Process Control, Quality Management, BPM, and Discrete Event Simulation.

Abstract
Digital twins (DT) in manufacturing, healthcare, and across different industrial domains are often over-simplified as solely a virtual representation of a physical object or service. Such a definition constitutes a dilemma in distinguishing DTs from digital models, digital shadows, digital threads, and cyber-physical systems. In this presentation, we aim to elucidate the concept of digital twins and its definition. Therefore, we go through the connotation of digital twins, which has its roots in space exploration and product-life cycle management, and describe the four evolution stages of DT developments. This presentation explains an ontological approach to clearly and comprehensively define digital twins and related key concepts, including digital models, assets, prototypes, shadows, and threads. Additionally, it presents a structured framework detailing the meta-model and the reference-level ontology of digital twins. twins. In addition, we will exploit the general and inevitable role of ontology in the development of digital twins.

Created in 1996, Le Studium is an Institute of Advanced Studies based in Orléans that works with a rich network of partners including universities, research centres, industry and local authorities in the Centre-Val de Loire region. Strengthening fundamental research, sharing knowledge, contributing to the development of innovation, addressing global challenges and developing international scientific cooperation are the many objectives pursued by Le Studium. To this end, Le Studium has two main activities: hosting international researchers in all scientific disciplines and organising multidisciplinary international scientific events (symposia, conferences, and workshops). Le Studium is also a partner in the programmes “Ambition Research and Development Centre-Val de Loire”, including the programme Junon. In these programmes, Le Studium leads the internationalisation actions by providing expertise and services for the recruitment of international top-level researchers, organising activities and events to promote international scientific exchanges and collaborations, exploring new international partnerships. JUNON is an ambitious research programme to develop a digital research cluster on the continental environment (agricultural, urban, forestry and river) in the Centre-Val de Loire region. This cluster aims to design digital services to improve the monitoring and understanding of the environment, for better management of natural resources. JUNON is led by BRGM (Bureau de Recherches Géologiques et Minières) or in English “French geological survey”, and involves five research organisations and numerous laboratories (Centre INRAE Val de Loire, CNRS, University of Orléans, University of Tours). In addition to Le Studium, it involves non-academic partners such as the Aquanova water and environment competitiveness cluster, the Agreen Tech Valley cluster and the Orléans-Val de Loire Technopôle.

SCOPE

A digital twin (DT) is a digital model of an intended or actual real-world physical product, system, or process (a physical twin) that serves as the effectively indistinguishable digital counterpart of it for practical purposes, such as simulation, integration, testing, monitoring, and maintenance. DTs are used in several contexts and fields, such as business, healthcare, manufacturing, agriculture, and the management of natural resources. Therefore, there are different approaches to designing DTs, without consensus on specific engineering processes. Nevertheless, there are some gaps in the data and flow representation through digital twin components. Ontologies are a promising standard for structuring data and flow. The aim of this special session is to present research or industrial efforts that utilize ontologies in DTs.

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After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
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IC3K Special Sessions - DTO 2024
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