AI RESEARCH
Performance Evaluation of LLMs in Automated RDF Knowledge Graph Generation
arXiv CS.AI
•
ArXi:2603.29878v1 Announce Type: cross Cloud systems generate large, heterogeneous log data containing critical infrastructure, application, and security information. Transforming these logs into RDF triples enables their integration into knowledge graphs, improving interpretability, root-cause analysis, and cross-service reasoning beyond what raw logs allow. Large Language Models (LLMs) offer a promising approach to automate RDF knowledge graph generation; however, their effectiveness on complex cloud logs remains largely unexplored.