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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.


SPECIAL SESSIONS LIST

DTO 2024Special Session on Ontologies for Digital Twin
Chair(s): Fatma Chamekh

Special Session on Ontologies for Digital Twin - DTO 2024

Paper Submission: September 25, 2024 (expired)
Authors Notification: October 4, 2024 (expired)
Camera Ready and Registration: October 14, 2024 (expired)


Chair

Fatma Chamekh
BRGM
France
e-mail
 
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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