Schema-Backed Visual Queries over Europeana and other Linked Data Resources

Kārlis Čerāns, Jūlija Ovčiņņikova, Uldis Bojārs, Mikus Grasmanis, Lelde Lāce, Aiga Romāne

Keywords: RDF, SPARQL, Linked data, Europeana, Visual Queries, SHACL

TL;DR: Automated schema-based visual query environment creation for Europeana and other large Linked data resources

Abstract: We describe and demonstrate the process of extracting a data-driven schema of the Europeana cultural heritage Linked data resource (with actual data classes, properties and their connections, and cardinalities) and application of the extracted schema to create a visual query environment over Europeana. The extracted schema information allows generating SHACL data shapes describing the actual data endpoint structure. The schema extraction process can be applied also to oth-er data endpoints with a moderate data schema size and a potentially large data triple count, as e.g. British National Bibliography Linked data resource.