Special Session
Special Session on
Ontologies for Digital Twin -
DTO
2024
17 - 19 November, 2024 - Porto, Portugal
Within the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - IC3K 2024
* CANCELLED *
CHAIR
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Fatma Chamekh
BRGM
France
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KEYNOTE SPEAKER
The Role of Ontology and Knowledge Representation in the Development of Digital Twins
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Sina Namaki Araghi
National Engineering School of Tarbes
France
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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.
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.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
- Digital Twin
- Ontologies
- Interoperability
- Reasoning
- Data
- Flow
IMPORTANT DATES
Paper Submission:
September 25, 2024 (expired)
Authors Notification:
October 4, 2024 (expired)
Camera Ready and Registration:
October 14, 2024 (expired)
SPECIAL SESSION PROGRAM COMMITTEE
Romain Chassagne,
BRGM, France
Thierry Louge,
ENIT- Universite Tarbes, France
Nada Mimouni,
Cedric-CNAM Paris, France
Yousouf Taghzouti,
Ecole des Mines Saint-Etienne, France
(list not yet complete)
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
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.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library