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  4. Second International Workshop on Scaling Knowledge Graphs for Industry (SKGi) - LLMs meet KGs: Preface
 
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September 2025
Conference Paper
Title

Second International Workshop on Scaling Knowledge Graphs for Industry (SKGi) - LLMs meet KGs: Preface

Abstract
This version explores the intersection of Knowledge Graphs (KGs) and Large Language Models (LLMs) with a focus on enabling scalable, efficient, and trustworthy AI applications in industrial contexts. As generative AI rapidly evolves, integrating symbolic and neural methods becomes essential to address challenges such as explainability, data alignment, and system robustness by gathering academic researchers and industry practitioners to discuss practical solutions and future of Semantic Web technologies in the era of foundation models.
Author(s)
Rincon-Yanez, Diego
Schmidt, Wilma
Kharlamov, Evgeny
Cochez, Michael
Paschke, Adrian  
Freie Universität Berlin  
O'Sullivan, Declan
Mainwork
Joint Proceedings of Posters, Demos, Workshops, and Tutorials of the 21st International Conference on Semantic Systems co-located with 21st International Conference on Semantic Systems, SEMANTiCS 2025  
Conference
International Workshop on Scaling Knowledge Graphs for Industry 2025  
International Conference on Semantic Systems 2025  
Open Access
File(s)
Download (140.01 KB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.24406/publica-6210
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Keyword(s)
  • Knowledge Graphs

  • Large Language Models

  • Graph Retrieval Augmented Generation

  • Scalable AI

  • AI for Industry

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