Name
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 other data endpoints with a moderate data schema size and a potentially large data triple count, as e.g., British National Bibliography Linked data resource. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/978-3-030-80418-3_15 | SEMANTIC WEB: ESWC 2021 SATELLITE EVENTS |
Keywords | DocType | Volume |
RDF, SPARQL, Linked data, Europeana, Visual Queries, SHACL | Conference | 12739 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karlis Cerans | 1 | 314 | 48.74 |
| Julija Ovcinnikova | 2 | 15 | 5.72 |
| Uldis Bojars | 3 | 357 | 32.14 |
| Mikus Grasmanis | 4 | 0 | 2.37 |
| Lelde Lace | 5 | 35 | 11.36 |
| Aiga Romane | 6 | 1 | 2.07 |