Modeling cultural heritage data for online publication

Chris Dijkshoorn*, Lora Aroyo, Jacco Van Ossenbruggen, Guus Schreiber

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

An increasing number of cultural heritage institutions publish data online. Ontologies can be used to structure published data, thereby increasing interoperability. To achieve widespread adoption of ontologies, institutions such as libraries, archives and museums have to be able to assess whether an ontology can adequately capture information about their artifacts. We identify six requirements that should be met by ontologies in the cultural heritage domain, based upon modeling challenges encountered while publishing data of the Rijksmuseum Amsterdam and challenges observed in related work. These challenges regard specialization, object- and event-centric approaches, temporality, representations, views and subject matter. For each challenge, we investigate common modeling approaches, by discussing two models regularly used in the museum sector: the CIDOC Conceptual Reference Model and the Europeana Data Model. The outlined approaches and requirements provide insights for data modeling practices reaching beyond the cultural heritage sector.

Original languageEnglish
Pages (from-to)255-271
Number of pages17
JournalApplied Ontology
Volume13
Issue number4
DOIs
Publication statusPublished - 9 Nov 2018

Funding

From the ResearchSpace team, we thank Dominic Oldman and Barry Norton for sharing valuable insights in the CIDOC Conceptual Reference Model. We thank Lizzy Jongma and Trineke Kamerling from the Rijksmuseum for their support. Comments from Stefan Schlobach and Rinke Hoekstra helped shape this paper. We thank Eetu Mäkelä, Emmanuel Papadakis and Karl Grossner for their extremely useful reviews. This publication is supported by the Dutch national program COMMIT/ and the VRE4EIC project, funded from H2020 grant No. 676247.

FundersFunder number
Dutch national program COMMIT
Horizon 2020 Framework Programme676247

    Keywords

    • cultural heritage
    • data models
    • linked data
    • museums
    • Ontologies
    • semantic web

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