The concept of digital twin, as a virtual replica of a physical entity, has gained traction recently in a range of domains such as industry, construction, energy, health or transport. Digital Twins can be used to view the status of the twinned physical object, without the need to interrogate the object itself. The digital twin can be queried by other software without the need to query the device itself thus relieving pressure on devices, which typically have very limited computational capabilities. Digital twins can also be used for monitoring and diagnostics to optimize device performance without impacting on the physical device.
Digital twins require unambiguous descriptions of both the entity and its digital counterpart, as well as the ability to integrate data from heterogeneous sources of information (including real-time data) and to interact with the physical world. Given these requirements, semantic technologies will play a significant role in bringing digital twins to reality.
The aims of the SeDIT workshop are twofold. Firstly, to initiate discussion about current trends and future challenges of semantic digital twins. Secondly, to support communication and collaboration with the goal of aligning the various efforts within the community and accelerating innovation in all the associated fields.
Submissions must be in PDF, formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see Springer’s Author Instructions.
All papers and abstracts have to be submitted electronically via the EasyChair conference submission system. The accepted contributions will be published in the proceedings of the workshop. Each accepted paper needs to be presented by one of the authors at the workshop.
The invited keynote speaker for the first edition of the SeDiT workshops is Ljiljana Stojanovic, Head of the Smart Factory Systems group in the Department of Information Management and Production Control at the Fraunhofer IOSB.
Cognitive Digital Twins: Challenges and opportunities for semantic technologies
A digital twin is a formal digital representation of an asset (e.g. sensor, machine, process, product, etc.) that captures attributes and behaviors of that asset suitable for communication, storage, interpretation or processing within a certain context. The digital twin model includes the data (e.g. master data, time-series data, etc.), the models (e.g. 3D models, physics-based model, data-driven models, etc.) and services (e.g. visualization). The cognitive twin is the evolution of the digital twin concept in the AI era by incorporating aspects associated with cognition, such as reasoning, planning, and learning. This talk is about the usage of semantics to realize the cognitive digital twin vision. The semantics will be used for the formal representation of human knowledge, for intertwining different digital twin models and for supporting advanced analytics and AI services. The resulting cognitive digital twin will be an intelligent and self-contained an entity, which does not only recognize a problem, but rather has deep understanding of a given situation, supporting the decision whether, how and when to react.
Submit your paper.
The notification and reviews from our Program Committee will be available.
Time to have your paper ready for being published. All the accepted paper will be published in the proceedings.
Keynote, papers presentations, demo jam and a lot of discussion. Remember! If your contribution is accepted, it needs to be presented by one of the authors at the event.