SOURCE-LINKED INTELLIGENCE
From Queries to Narratives: Cultural Heritage Data Stories for Knowledge Graph Exploration and Quality Assessment
Cultural-heritage KGs such as the NFDI4Culture-KG contain millions of triples about artworks, music, inscriptions, historical events, and the people and places connected to them. For many users, however, discovering this knowledge can be difficult. While SPARQL can be learned, writing meaningful queries first requires an in-depth understanding of the graph's data model, an investment many domain researchers and practitioners are unwilling to make. Even with existing user interfaces, a starting point and some guidance are usually needed, because the data contained in the graph is highly special
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T11:34:36.000Z
First collected: 2026-09-20T19:02:05.452Z. This is not the publication date.