The following article was recently published in the journal Semantic Web.
Title
The Rijksmuseum Collection as Linked Data
Authors
Chris Dijkshoorn
VU University Amsterdam
Lizzy Jongma
Rijksmuseum Amsterdam
Lora Aroyo
VU University Amsterdam
Jacco van Ossenbruggen
Centrum Wiskunde & Informatica, the Netherlands
Guus Schreiber
VU University Amsterdam
Wesley ter Weele
VU University Amsterdam
Jan Wielemaker
VU University Amsterdam
Source
Semantic Web
vol. 9, no. 2 (2018)
doi: 10.3233/SW-170257
Abstract
Many museums are currently providing online access to their collections. The state of the art research in the last decade shows that it is beneficial for institutions to provide their datasets as Linked Data in order to achieve easy cross-referencing, interlinking and integration. In this paper, we present the Rijksmuseum linked dataset (accessible at http://datahub.io/dataset/rijksmuseum), along with collection and vocabulary statistics, as well as lessons learned from the process of converting the collection to Linked Data. This dataset contains over half a million objects, including detailed descriptions and high-quality images released under a public domain license.
Direct to Full Text Article (OA Version via Semantic Scholar)
7 pages; PDF.
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