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[iot-wg] [CfP] Call for Papers for Workshop on Leveraging Semantics for Transparency in Industrial Systems (SENTIS) @SEMANTiCS 2025
(apologies for potential cross-posting)

Second CfP and deadline extension

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                                             2nd CALL FOR PAPERS

         1st Workshop on Leveraging SEmaNtics for Transparency in

                                   Industrial Systems (SENTIS)

 

Workshop at SEMANTiCS 2025

                                   September 03, 2025 | Vienna, Austria

 

  The key theme:  leveraging semantics for transparency in industrial systems

 

            Workshop homepage: https://semsys.ai.wu.ac.at/sentis2025/

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*** Important Dates ***

  • Paper Submission Deadline (Extended): July 04, 2025 (11:59 pm, AoE)
  • Notification of Acceptance: August 01, 2025 (11:59 pm, AoE)

 

Submission via Easychair https://easychair.org/conferences?conf=sentis2025

 

***About the workshop***

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.

 

***Keywords***

Industrial Systems - Transparency - Explainability - Auditability - Use Cases - Semantic Web Applications

 

***Workshop Topics***

We invite papers that focus on different aspects of leveraging semantics for transparency in industrial systems. Topics of interest include, but are not limited to:

  • Knowledge graphs for system transparency, explanations, auditability
  • Semantic Web technologies for user-centered explanations
  • Applications of semantic frameworks in industrial systems
  • Human-in-the-loop to construct and/or evaluate interpretable systems
  • Semantic interpretability: how to add semantics to explanations
  • Applications of Web of Things technologies in industrial systems
  • AI explainability in digital twins
  • Event detection and representation in industrial systems
  • Formal methods for describing and verifying industrial systems
  • Learning and representing causal knowledge

 

***Submission Details***

The SENTIS Workshop calls for original and previously unpublished submissions. Both short and long paper submissions are welcome:

 

  • Short paper submissions are limited to 5-9 pages (single column). This category welcomes submissions presenting early research results, novel concepts, or discussion-oriented position papers.
  • Full papers should range between 10 and 16 pages (single column). They should present complete and well-developed research, featuring thorough theoretical analysis or substantial practical contributions.

 

Papers will be published in the SEMANTiCS side event proceedings through CEUR

Workshop Proceedings. Submissions should therefore follow the CEUR Workshop Proceedings paper style see https://ceurws.wordpress.com/2020/03/31/ceurws-publishes-ceurart-paper-style/ for more information. An overleaf template can be found under https://www.overleaf.com/project/67fd3673eded95058188f82b

 

***Workshop Chairs***

  • Konrad Diwold, Siemens AG Österreich, Austria
  • Andreas Harth, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
  • Marta Sabou, Vienna University of Economics and Business, Austria
  • Gernot Steindl, TU Wien & University of Applied Sciences Burgenland, Austria
  • Katrin Schreiberhuber, Vienna University of Economics and Business, Austria

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