SAGE 2026

Knowledge graphs, ontologies, constraints, provenance, and reasoning offer mature foundations for governed AI systems. SAGE 2026 focuses on how these semantic technologies can be architected end-to-end with explainability and governance built in, not added later.

Topics of interest include:

• Semantic architectures for governed inference pipelines.
  
• Policy-aware and compliance-driven knowledge graph systems.
  
• Constraint validation (including SHACL-based validation).
  
• Provenance-aware reasoning and evidence traceability.
  
• Hybrid symbolic-neural and LLM+KG reasoning workflows.
  
• Explainability grounded in semantic representations.
  
• Evaluation beyond accuracy: robustness, provenance completeness, and policy alignment.
  
• Industrial and public-sector use cases in regulated domains.
  
  Author Guidelines:
  
• Full paper: 12-15 pages.
  
• Short paper: 5-8 pages.
  
• Extended abstract: 2-4 pages.
  
• Submissions should follow conference formatting requirements and be submitted in PDF.
  
• Accepted papers are expected to be presented at the workshop and included in workshop proceedings.
  
• All submissions must be made through EasyChair: Link is here!
  

• Anuoluwapo Adewuyi, Birmingham City University, UK
  
• Aliyuda Ali, Sheffield Hallam University, UK
  
• Sondess Missaoui, University of the West of England, UK
  
• Takwa Omrani, University of Sfax, Tunisia
  
• Aliyu Sani Sambo, University of Wales Trinity Saint David, UK
  
• Parnia Samimi, Birmingham City University, UK