The Rijksmuseum collection as Linked Data

Article type: Research Article

Authors: Dijkshoorn, Chris^{a; b; *} | Jongma, Lizzy^b | Aroyo, Lora^a | van Ossenbruggen, Jacco^c | Schreiber, Guus^a | ter Weele, Wesley^d | Wielemaker, Jan^a

Affiliations: [a] Department of Computer Science, The Network Institute, VU University Amsterdam, the Netherlands | [b] Rijksmuseum, Amsterdam, the Netherlands | [c] Centrum Wiskunde & Informatica, the Netherlands | [d] History Department, VU University Amsterdam, the Netherlands

Correspondence: [*] Corresponding author. E-mail: [email protected].

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. The version of March 2016 contains over 350,000 objects, including detailed descriptions and high-quality images released under a public domain license.

Keywords: Linked Data, Open Data, image collections, cultural heritage, museums

DOI: 10.3233/SW-170257

Journal: Semantic Web, vol. 9, no. 2, pp. 221-230, 2018