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 language | English |
|---|---|
| Pages (from-to) | 255-271 |
| Number of pages | 17 |
| Journal | Applied Ontology |
| Volume | 13 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 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.
| Funders | Funder number |
|---|---|
| Dutch national program COMMIT | |
| Horizon 2020 Framework Programme | 676247 |
Keywords
- cultural heritage
- data models
- linked data
- museums
- Ontologies
- semantic web
