research data . Dataset . 2019

Billion Triple Challenge (BTC) 2019 Dataset

Herrera, Jose Miguel; Hogan, Aidan; Käfer, Tobias;
Open Access
  • Published: 10 Apr 2019
  • Publisher: Zenodo
Abstract
<p>The Billion Triple Challenge (BTC) 2019 Dataset is the result of a large-scale RDF&nbsp;crawl (accepting RDF/XML, Turtle and N-Triples) conducted from 2018/12/12 until 2019/01/11 using <a href="https://github.com/ldspider/ldspider">LDspider</a>. The data are stored as quads where the fourth element encodes the location of the&nbsp;Web document from which the associated triple was parsed. The dataset contains&nbsp;2,155,856,033 quads, collected from 2,641,253 RDF documents on 394 pay-level domains.&nbsp;Merging the data into one RDF graph results in&nbsp;256,059,356 unique triples. These data (as quads or triples) contain&nbsp;38,156 unique predicates and inst...
Subjects
free text keywords: linked data, semantic web, btc, billion triple challenge
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Zenodo
Dataset . 2019
Provider: Datacite
Zenodo
Dataset . 2019
Provider: Zenodo
Zenodo
Dataset . 2019
Provider: Datacite
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research data . Dataset . 2019

Billion Triple Challenge (BTC) 2019 Dataset

Herrera, Jose Miguel; Hogan, Aidan; Käfer, Tobias;