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.github/workflows/release.yaml

muziekweb (development version)

The dataset consists of the main graph of Muziekweb, a high-quality Dutch knowledge base about music, containing information about artists, CD, LPs, and more. The knowledge base is richly annotated and contains plentiful links to external resources.

This README is a snapshot of documentation for the latest development version of the dataset. Full documentation for all versions can be found on the website.

General information

Technical metadata

  • Has stream type usage:
    • RDF stream type usage (1)
      • Type: RDF stream type usage (stax:RdfStreamTypeUsage)
      • Comment: The dataset can be viewed as a stream of graphs corresponding to items in the knowledge base. Each graph is uniquely identified by its subject IRI. (en)
      • Has stream type: RDF subject graph stream (stax:subjectGraphStream)
    • RDF stream type usage (2)
  • Has stream element count: 2,450,357
  • Has stream element split:
    • Type: Stream elements split by topic (rb:TopicStreamElementSplit)
    • Has subject shape:
      • Has subject shape (1)
        • Target subjects of: Type (rdf:type)
        • Comment: Target instances of any class. (en)
      • Has subject shape (2)
    • Comment: Each stream element corresponds to a different item in the knowledge base. The size of elements varies depending on how much information is there on a given item. (en)
  • Uses vocabulary:
  • Conforms to W3C RDF 1.1 specification: yes
  • Conforms to W3C RDF-star draft specification as of December 17, 2021: yes
  • Uses generalized triples: no
  • Uses generalized RDF datasets: no
  • Uses RDF-star: no
  • Language: nl

Distributions

Full stream distribution

Full Jelly distribution

Full flat distribution

1M elements stream distribution

1M elements Jelly distribution

1M elements flat distribution

100K elements stream distribution

100K elements Jelly distribution

100K elements flat distribution

10K elements stream distribution

10K elements Jelly distribution

10K elements flat distribution