This time, we address central themes such as knowledge-centric AI, trustworthy data infrastructure, and human-centric interfaces. It is particularly timely, given the emergence of foundation models and artificial general intelligence (AGI) in real-world applications, and it offers a platform for advancing and showcasing research across industrial applications.

We are particularly interested in research and industrial innovations that explore how symbolic and neural approaches can be combined to create scalable, explainable, and trustworthy AI systems suitable for real-world applications. 

To foster deep and practical discussions around the integration of Knowledge Graphs (KGs) and Large Language Models (LLMs), we invite contributions that address both foundational and applied challenges.

🔗 Submission portal: TBA

🔗 Previous editions: SKGI 2024, SKGi2025

Author Guidelines

📄 Submission Guidelines

• Long papers (8–12 pages): Research, In-use systems, tools, or other agent-related use cases in production environments

• Short/position papers (4–6 pages): works in progress, early result exposure, position statements, emerging systems.

• All submissions will undergo peer-review by at least two research-community active members.

• Accepted papers will be submitted to  CEUR-WS proceedings. 

• All deadlines are set for 11:59 pm, Anywhere on Earth time (UTC-12)

• Presentation of accepted work at the workshop is mandatory.

• Page limits exclude references.

• Papers must be submitted in PDF format using the CEUR-WS single-column template. Templates are available  from CEUR-WS template .  

• Submission Platform: TBA