6 | | 3 Stars: Suitable for CSV accessible over HTTP |
7 | | 4 stars: Datasets will have resources which are either RDF files (in any format: XML, Turtle, N3, JSON-LD), or are SPARQL API Endpoints, or are HTML files (either linked or uploaded) which are embedded with RDFa/Microformats/Microdata <-- requires mime-type analysis, and if HTML file then analysis of the doctype |
8 | | 5 stars: The resources will contain fully dereference-able URIs (i.e. their URIs are accessible over HTTP) <- quite difficult to automate, but certainly possible. |
| 6 | |
| 7 | * 3 Stars: Suitable for CSV accessible over HTTP |
| 8 | |
| 9 | * 4 stars: Datasets will have resources which are either RDF files (in any format: XML, Turtle, N3, JSON-LD), or are SPARQL API Endpoints, or are HTML files (either linked or uploaded) which are embedded with RDFa/Microformats/Microdata <-- requires mime-type analysis, and if HTML file then analysis of the doctype |
| 10 | |
| 11 | * 5 stars: The resources will contain fully dereference-able URIs (i.e. their URIs are accessible over HTTP) <- quite difficult to automate, but certainly possible. |