SKGi 2026 is motivated by intersection of Knowledge Graphs (KGs) and semantically oriented technologies, in the context of intelligent Agents in productive scenarios, and how these approaches enable scalable, efficient, and trustworthy features in AI applications. As agentic and generative AI rapidly evolves, integrating symbolic and neural methods becomes essential to address challenges such as explainability, data alignment, and system robustness. Topics also include Graph RAG approaches, other scalable approaches to KG construction and exploitation, maintenance and usage, energy-efficient AI, and user-centered KG interfaces. The workshop brings together academic researchers and industry practitioners to discuss practical solutions and the future of Semantic Web technologies in the era of foundation models.
Scaling Knowledge Graph for Industry (SKGi)