Modeling cultural heritage data for online publication

Research output: Contribution to JournalArticleAcademicpeer-review

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.

LanguageEnglish
Pages255-271
Number of pages17
JournalApplied Ontology
Volume13
Issue number4
DOIs
StatePublished - 9 Nov 2018

Fingerprint

cultural heritage
Ontology
ontology
Museums
Data structures
museum
information capture
Interoperability
specialization
artifact
Cultural Heritage
Modeling
event

Keywords

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

Cite this

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title = "Modeling cultural heritage data for online publication",
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.",
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Modeling cultural heritage data for online publication. / Dijkshoorn, Chris; Aroyo, Lora; Van Ossenbruggen, Jacco; Schreiber, Guus.

In: Applied Ontology, Vol. 13, No. 4, 09.11.2018, p. 255-271.

Research output: Contribution to JournalArticleAcademicpeer-review

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