
Premium content
Access to this content requires a subscription. You must be a premium user to view this content.

workshop paper
Educational Material to Knowledge Graph Conversion: A Methodology to Enhance Digital Education
keywords:
personalized learning
intelligent educational technologies
educational content
knowledge modelling
automated kg generation
text-to-knowledge graph conversion
educational material to knowledge graph conversion
semantic search
large language models
knowledge graphs
natural language processing
This article argues that digital educational content should be structured as knowledge graphs (KGs). Unlike traditional repositories such as Moodle, a KG offers a more flexible representation of the relationships between concepts, facilitating intuitive navigation and discovery of connections. In addition, it integrates effectively with Large Language Models, enhancing personalized explanations, answers, and recommendations. This article studies different proposals based on semantics and knowledge modelling to determine the most appropriate ways to strengthen intelligent educational technologies.