LOD-a-lot: A queryable dump of the LOD cloud

Javier D. Fernández*, Wouter Beek, Miguel A. Martínez-Prieto, Mario Arias

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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.

Original languageEnglish
Title of host publicationThe Semantic Web – ISWC 2017 - 16th International Semantic Web Conference, Proceedings
PublisherSpringer/Verlag
Pages75-83
Number of pages9
Volume10588 LNCS
ISBN (Print)9783319682037
DOIs
Publication statusPublished - 2017
Event16th International Semantic Web Conference, ISWC 2017 - Vienna, Austria
Duration: 21 Oct 201725 Oct 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10588 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference16th International Semantic Web Conference, ISWC 2017
Country/TerritoryAustria
CityVienna
Period21/10/1725/10/17

Funding

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. Acknowledgments. Partly funded by Austrian Science Fund: M1720-G11,

FundersFunder number
Horizon 2020 Framework Programme
Austrian Science FundM1720-G11
Ministerio de Economía y CompetitividadTIN2013-46238-C4-3-R, TIN2016-78011-C4-1-R
Horizon 2020731601

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