The Perl and Raku Conference 2024 in Las Vegas

Large Language Models (LLMs) have shown potential across a wide range of applications, yet their adoption, particularly in enterprise settings, has not kept pace with the general enthusiasm. In this paper, we present a novel application of LLMs to convert unstructured text into a structured data format, specifically the Resource Description Framework (RDF)—the lingua franca of the Semantic Web. We demonstrate how, by leveraging the structure of an existing RDF or OWL graph, we can automate prompts which allow for automated construction of Semantic Knowledge Graphs (SKGs).