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.
| Language | English |
|---|---|
| Pages | 255-271 |
| Number of pages | 17 |
| Journal | Applied Ontology |
| Volume | 13 |
| Issue number | 4 |
| DOIs | |
| State | Published - 9 Nov 2018 |
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Keywords
- cultural heritage
- data models
- linked data
- museums
- Ontologies
- semantic web
Cite this
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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 Journal › Article › Academic › peer-review
TY - JOUR
T1 - Modeling cultural heritage data for online publication
AU - Dijkshoorn,Chris
AU - Aroyo,Lora
AU - Van Ossenbruggen,Jacco
AU - Schreiber,Guus
PY - 2018/11/9
Y1 - 2018/11/9
N2 - 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.
AB - 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.
KW - cultural heritage
KW - data models
KW - linked data
KW - museums
KW - Ontologies
KW - semantic web
UR - http://www.scopus.com/inward/record.url?scp=85056617381&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056617381&partnerID=8YFLogxK
U2 - 10.3233/AO-180201
DO - 10.3233/AO-180201
M3 - Article
VL - 13
SP - 255
EP - 271
JO - Applied Ontology
T2 - Applied Ontology
JF - Applied Ontology
SN - 1570-5838
IS - 4
ER -