The increasing complexity of industrial automation systems, driven by IT/OT convergence, is transforming traditionally deterministic systems into distributed non-deterministic cyber-physical systems (CPS).
This evolution, combined with the growing adoption of ML and AI technologies, creates an urgent need for transparency and explainability in industrial applications. The upcoming EU AI Act further emphasizes this requirement, making it essential to convert black box systems into interpretable white box solutions that provide trustworthy information and recommendations to system operators. Semantic web technologies (SWT) and knowledge graphs (KG) have emerged as powerful tools to address these challenges in complex automation systems.
The SENTIS workshop serves as a collaborative platform connecting researchers, industry professionals, and domain experts who specialize in SWT for automation systems. The workshop focuses on advancing transparency in both automation systems and their AI models, while promoting explainable solutions for industry applications.
SENTIS aims to foster engaging discussions, encourage the sharing of ideas, and catalyze future collaborative research initiatives in this rapidly evolving domain.
Industrial Systems - Transparency - Explainability - Auditability - Use Cases - Semantic Web Applications
Topics include, but are not limited to:
To Be Announced
To Be Announced
The SENTIS Workshop calls for original and previously unpublished submissions. Both short and long paper submissions are welcome:
Papers will be published in the SEMANTiCS side event proceedings through CEUR Workshop Proceedings. The submissions must be in English and adhere to CEUR workshop Template.
The papers should be submitted as PDF files to EasyChair. The review process will be single-blind. Please note: At least one author per paper must be registered and attend the workshop to present the work.
To Be Announced