The Rijksmuseum collection as Linked Data

Chris Dijkshoorn; Lizzy Jongma; Lora Aroyo; Jacco Van Ossenbruggen; Guus Schreiber; Wesley Ter Weele; Jan Wielemaker

doi:10.3233/SW-170257

The Rijksmuseum collection as Linked Data

Chris Dijkshoorn^*, Lizzy Jongma, Lora Aroyo, Jacco Van Ossenbruggen, Guus Schreiber, Wesley Ter Weele, Jan Wielemaker

^*Corresponding author for this work

Research output: Contribution to Journal › Article › Academic › peer-review

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.

Original language	English
Pages (from-to)	221-230
Number of pages	10
Journal	Semantic Web
Volume	9
Issue number	2
Early online date	24 Jan 2018
DOIs	https://doi.org/10.3233/SW-170257
Publication status	Published - 2018

Keywords

cultural heritage
image collections
Linked Data
museums
Open Data

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "The Rijksmuseum collection as Linked Data",

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.",

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doi = "10.3233/SW-170257",

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AU - Dijkshoorn, Chris

AU - Jongma, Lizzy

AU - Aroyo, Lora

AU - Van Ossenbruggen, Jacco

AU - Schreiber, Guus

AU - Weele, Wesley Ter

AU - Wielemaker, Jan

PY - 2018

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AB - 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.

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KW - image collections

KW - Linked Data

KW - museums

KW - Open Data

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ER -

The Rijksmuseum collection as Linked Data

Abstract

Keywords

UN SDGs

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