Dataset Open Access

Data Set Knowledge Graph (DSKG)

Michael Färber; David Lamprecht


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4478921", 
  "language": "eng", 
  "title": "Data Set Knowledge Graph (DSKG)", 
  "issued": {
    "date-parts": [
      [
        2021, 
        1, 
        31
      ]
    ]
  }, 
  "abstract": "<p>We present the <strong>Data Set Knowledge Graph (<a href=\"http://dskg.org\">DSKG.org</a>)</strong>, an <strong>RDF</strong> <strong>dataset about datasets </strong>that are <strong>linked to publications</strong> (modeled in the Microsoft Academic Knowledge Graph, MAKG) that mention the datasets. The metadata of the datasets is based on datasets that are registered in <strong>OpenAIRE</strong> and <strong>Wikidata</strong>.</p>\n\n<p><strong>What exactly do we provide?</strong></p>\n\n<ol>\n\t<li>Periodically updated <strong><a href=\"http://dskg.org\">RDF dump files</a></strong> of the Data Set Knowledge Graph.</li>\n\t<li><strong><a href=\"http://dskg.org\">URI resolution</a></strong> of the Data Set Knowledge Graph within the Linked Open Data.</li>\n\t<li>A publicly accessible <strong><a href=\"http://dskg.org\">SPARQL endpoint</a></strong> containing the latest Dataset Knowledge Graph data.</li>\n</ol>\n\n<p><strong>How big is the Dataset Knowledge Graph?</strong></p>\n\n<p>The <a href=\"http://dskg.org\">Dataset Knowledge Graph</a> models, among others,</p>\n\n<ul>\n\t<li>2,208 datasets from all scientific disciplines</li>\n\t<li>813,551 links to 634,803 unique papers</li>\n\t<li>1,169 authors of datasets</li>\n\t<li>208 ORCID IDs.</li>\n</ul>\n\n<p><strong>Potential use cases:</strong></p>\n\n<ul>\n\t<li>Use the DSKG for the development of semantic search engines (e.g. use the metadata of the linked publications of the datasets&nbsp;for advanced search capabilities)</li>\n\t<li>Easier data integration by using the RDF standard vocabulary DCAT and by linking resources to other data sources (e.g., combining the DSKG with other dataset collections in RDF).</li>\n\t<li>Data analysis to measure and award the provisioning of datasets (e.g., determine the scientific influence of datasets and authors).</li>\n</ul>", 
  "author": [
    {
      "family": "Michael F\u00e4rber"
    }, 
    {
      "family": "David Lamprecht"
    }
  ], 
  "version": "1.0", 
  "type": "dataset", 
  "id": "4478921"
}
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