Welcome to the Semantics-Driven Cyber-Physical Systems session of KES-2021

Aim and scope of the session:

Today we are living in an increasingly connected Cyber-Physical world (i.e. machines, sensors, software, etc.), in which all organizations are facing tremendous challenges on how to exploit the amount of generated data in order to propose intelligent systems and services of tomorrow's society. Accordingly, the development of Cyber-Physical Systems (CPSs) is the new revolution of engineering systems. Advancements in CPS technologies have increasingly been part of the emerging trends of ICT such as the Internet of Things (IoT), Digital Twins, Big Data, cloud computing, robotics, blockchain, as well as paradigms like Industry 4.0 and Smart Cities. However, the large volumes of data produced by CPSs is growing exponentially, besides its increasing heterogeneity due to the variety of the system components and resulting from the emergence of increasingly sophisticated and precise acquisition devices. Understanding data more effectively is a key factor to semantically link the results of automatic analysis and learning (recognition, prediction, etc.) with the formal description of the global context (domain, environment, application, society, etc.). By creating a common understanding of the meaning of data, semantics-driven Artificial Intelligence play an essential role in the process of exploiting this massive and heterogeneous data to provide insight and solve problems around monitoring, control, decision-making, and prediction about the functioning of CPS and its behavior. Research in this area is, therefore, identifying new directions to upgrade the efficiency and automation of the understanding and analysis of data flows in CPS.

Topics:

• Semantics-driven design of CPS

• Ontologies and knowledge graphs for CPS

• Situation semantics and situation awareness for CPS

• Semantic interoperability for CPS

• Semantic provenance and knowledge acquisition for CPS

• Semantic data management and integration for CPS

• Data flow in CPS

• Knowledge-based decision making in CPS

• Data processing and AI in CPS

• Knowledge discovery and reasoning in CPS

• Semantics-driven CPS applications

• Semantics for Cyber-Physical Social Systems (CPSS)

• Semantics and causality (explainability) in CPS

Deadlines:

• Submission of Papers: 12 April 2021 Extended: 30 April 2021

• Notification of Acceptance: 15 May 2021

• Final paper publication files to be received by: 28 May 2021

Submission Instructions:

Submissions for the conference must be made as complete papers (there is no abstract submission stage) submitted as PDF documents.

The guide length for full papers is 8 to 10 pages (maximum).

Guidance notes for the preparation of Full Papers are available: ..here..

Contributions are submitted via the following website (Invited Session IS17):

http://kes2021is.prosemanager.com/submitpaper.asp

KES conference is ranked B in CORE and the conference proceedings will be published in Elsevier's Procedia Computer Science open access journal, available in ScienceDirect and submitted to be indexed/abstracted in CPCi (ISI conferences and part of Web of Science), Engineering Index, and Scopus.

Chairs:

• Dr. Linda ELMHADHBI, INP-ENIT, University of Toulouse, France (linda.elmhadhbi@enit.fr)

• Dr. Violeta DAMJANOVIC-BEHRENDT, Salzburg Research Forschungsgesellschaft, Salzburg, Austria (violeta.damjanovic@salzburgresearch.at)

• Prof. Hedi KARRAY, INP-ENIT, University of Toulouse, France (mkarray@enit.fr)

International program committee (Draft, to be confirmed):

• Bernard Archimede, ENIT, France

• Arkppaul Sarkor, Univrsity of Ohio, USA

• Farhad Ameri, State University of Texas, USA

• Nejib Moalla, University of Lyon 2, France

• Georg Weichhart, PROFACTOR, Austria

• Gergory Zacharewicz, IMT Mines d’Ales, France

• Éric VILLENEUVE, Estia, France

• Raymond Houe, ENIT, France

• Farouk Belkadi, Ecole Centrale de Nantes, France

• Christophe Merlo, ESTIA, France

• Elhadj Ben khlifa, Staffordshire University, UK

• Riadh Ben Halima, University of SFAX, Tunisia

• Michael Mrissa, InnoRenew, Slovenia

• Khalil Drira, LAAS CNRS, France

• Khouloud Boukadi, University of SFAX, Tunisia

• Antonio De Nicola, ENEA, Italy

• Nada Matta, UTT, France

• Ernesto Expositio, University of Pau et des Pays de l'Adour, France

• Marie-Hélène Abel, University of Technology of Compiègne, France

• Jean-Paul Jamont, University of Grenoble, France

(TBC)