=Paper=
{{Paper
|id=Vol-3291/keynote1
|storemode=property
|title=Semantic Digital Twins: Trends and Shortcomings (Keynote)
|pdfUrl=https://ceur-ws.org/Vol-3291/keynote1.pdf
|volume=Vol-3291
|authors=Evgeny Kharlamov
|dblpUrl=https://dblp.org/rec/conf/esws/Kharlamov22
}}
==Semantic Digital Twins: Trends and Shortcomings (Keynote)==
<pdf width="1500px">https://ceur-ws.org/Vol-3291/keynote1.pdf</pdf>
<pre>
Semantic Digital Twins: Trends and Shortcomings
(Keynote)
Evgeny Kharlamov
Bosch Center for Artificial Intelligence, Germany
SIRIUS Research Center, University of Oslo, Norway


                                      Abstract
                                      During the last decade the concept of Digital Twins, as digital representation of a physical object or
                                      system, has become one of the key building blocks towards digitalization and automation in the whole
                                      production value chain. In particular, Digital Twins are popular in manufacturing since they allow
                                      to seamlessly capture the entire manufacturing environment including facilities, processes, materials,
                                      personnel, etc. In the keynote talk we discuss the current practices and trends in the development and
                                      use of Digital Twins in smart manufacturing with a particular focus on approaches that are rooted in
                                      semantic technologies, that is, ontologies, constraints, knowledge graphs. We also discuss what are the
                                      limitations of existing solutions and requirements for the next-generation Semantic Digital Twins.
                                          First, we discuss the vision of the concept of a digital twin will be analyzed based on the perspective
                                      from the industry. In this scenario, the main challenge still remains to have isolated information silos,
                                      and digital twins can support the aggregation of information from such silos. This goes beyond con-
                                      ceptual modelling, i.e. just interlinking the physical and digital conceptual models, but also connecting
                                      information across the project life cycle and solving the particular needs from industry.
                                          Then, we deep dive into the analysis of the digital twin-powered industry 4.0, from vision to the
                                      main trends and current practices. Industry 4.0 can be enhanced with semantic digital twins and indus-
                                      trial knowledge graphs, which will enable applications to be built on top of such digital twins and the
                                      underlying knowledge graph they expose. The existing digital twin solutions provide flexible linking
                                      and integration of heterogeneous data across information silos, and having ontology-based solutions
                                      simplifies data access. The digital twin concept enables heterogeneous industrial asset data to be dis-
                                      coverable, presented in a homogeneous language, and understood by domain experts. Furthermore,
                                      diagnosis and analytics require specialised semantic languages to enable native analyses over semantic
                                      data models and combine data extraction and data analysis.
                                          Finally, in the keynote we present different research directions for Semantic Digital Twins. The
                                      research community has a good room for improvement on topics such as the combination of ontologies
                                      and constraints, the use of modelling patterns and standards, the provision of quality management
                                      mechanisms, the construction of user-orientated solutions, and the enhancement of Digital Twins with
                                      machine learning, analytics, and simulation. Addressing these topics will give us the next generation
                                      of Semantic Digital Twins that are enhanced with modelling patterns, constraints, reasoning, quality
                                      metrics and user-oriented tools.

                                      Keywords
                                      Digital Twin, Ontology, Semantics




Third International Workshop On Semantic Digital Twins (SeDiT 2022), co-located with the 19th European Semantic
Web Conference (ESWC 2022), Hersonissos, Greece - 29 May 2022
Ȉ 0000-0003-3247-4166 (E. Kharlamov)
                                    © 2022 Copyright SeDiT 2022 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC
                                    BY 4.0).
 CEUR
 Workshop
 Proceedings
               http://ceur-ws.org
               ISSN 1613-0073
                                    CEUR Workshop Proceedings (CEUR-WS.org)

</pre>