Skip to content

RiverBench/dataset-openaire-lod

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

.github/workflows/release.yaml

Dataset: openaire-lod (development version)

OpenAIRE LOD was a service that exported data from the OpenAIRE information space in RDF format, using Linked Open Data principles. The data was exported to Zenodo, with the last dump dated at March 3, 2021. This dataset consists of the "result" subset of the OpenAIRE LOD graph, including scientific results such as publications.

Only records that were valid RDF and had the "dateofcollection" property were included here. They were then sorted by the date of collection in ascending order. The first 2 (out of 28) million records that were obtained in this way are a part of this dataset.

See also the project documentation and the used ontology.

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)
    • RDF stream type usage (2)
      • Type: RDF stream type usage (stax:RdfStreamTypeUsage)
      • Comment: The dataset can be viewed as a stream of graphs, with each graph corresponding to one scientific result from OpenAIRE. Each graph is uniquely identified by its subject IRI. (en)
      • Has stream type: RDF subject graph stream (stax:subjectGraphStream)
  • Has stream element count: 2,000,000
  • Has stream element split:
  • Uses vocabulary: http://lod.openaire.eu/vocab
  • 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: en

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

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Packages

No packages published