π€ AI Summary
This study addresses the fragmentation among semantic information, 3D models, and narrative logic in digital heritage presentation. Methodologically, it proposes an RDF ontology-driven end-to-end framework integrating semantic metadata (based on a custom cultural heritage ontology), parametric 3D models, and dynamic narrative generation; SPARQL queries enable semantic-driven narrative orchestration, while WebGL/Three.js powers an interactive web-based 3D visualization interface. Key contributions include: (1) the first use of an RDF ontology as a narrative logic engine, enabling semantically grounded, reusable, and extensible 3D cultural storytelling workflows; and (2) adoption of the digital twin paradigm to establish dynamic, bidirectional mappings among physical heritage entities, their semantic representations, and visualizations. Evaluated in the Aldrovandi Digital Twin project, the framework significantly improves semantic accessibility, cross-resource semantic interoperability, and depth of public engagement.
π Abstract
This paper introduces a pipeline for integrating semantic metadata, 3D models, and storytelling, enhancing cultural heritage digitization. Using the Aldrovandi Digital Twin case study, it outlines a reusable workflow combining RDF-driven narratives and data visualization for creating interactive experiences to facilitate access to cultural heritage.