LOD Laundromat (archival package 2016/06)

The LOD Laundromat provides access to a large subset of Linked Open Data (LOD) that is published in today's LOD Cloud. It automatically scrapes and cleans 650 thousand datasets containing over 38 billion statements. The cleaned data is converted to a standards-compliant format that is optimized for reuse. The data cleaning process cleans hundreds of millions of 'stains' from the data, including syntax errors, duplicate statements, and unnamed nodes. The resulting datasets are republished in a uniform format and are indexed for fast search & retrieval via a publicly accessible web service. The LOD Laundromat data collection allows researchers to access large quantities of data from different domain, including humanities, health, and social sciences.

Identifier
DOI https://doi.org/10.17026/dans-znh-bcg3
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-3v3b-49
Related Identifier https://link.springer.com/chapter/10.1007/978-3-319-11964-9_14
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:65097
Provenance
Creator Beek, W.G.J.; Rietveld, L.; Schlobach, S.
Publisher Data Archiving and Networked Services (DANS)
Publication Year 2016
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/publicdomain/zero/1.0; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Representation
Language English
Resource Type Dataset
Format application/n-quads
Discipline Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences