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LOD-a-lot

A Queryable Dump of the LOD Cloud
  • Javier D. FernándezEmail author
  • Wouter Beek
  • Miguel A. Martínez-Prieto
  • Mario Arias
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10588)

Abstract

LOD-a-lot democratizes access to the Linked Open Data (LOD) Cloud by serving more than 28 billion unique triples from 650 K datasets over a single self-indexed file. This corpus can be queried online with a sustainable Linked Data Fragments interface, or downloaded and consumed locally: LOD-a-lot is easy to deploy and demands affordable resources (524 GB of disk space and 15.7 GB of RAM), enabling Web-scale repeatable experimentation and research even by standard laptops.

Notes

Acknowledgments

Partly funded by Austrian Science Fund: M1720-G11, European Union’s Horizon 2020 research and innovation programme under grant 731601, WU Post-doc Research Contracts, and MINECO, Spain: TIN2013-46238-C4-3-R, and TIN2016-78011-C4-1-R. We also thank the KEYSTONE COST Action IC1302.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Javier D. Fernández
    • 1
    • 2
    Email author
  • Wouter Beek
    • 3
  • Miguel A. Martínez-Prieto
    • 4
  • Mario Arias
    • 5
  1. 1.Vienna University of Economics and BusinessViennaAustria
  2. 2.Complexity Science Hub ViennaViennaAustria
  3. 3.Department of Computer ScienceVU University AmsterdamAmsterdamNetherlands
  4. 4.Department of Computer ScienceUniversidad de ValladolidSegoviaSpain
  5. 5.Mario Arias SoftwareLondonUK

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