IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v13y2021i11p277-d667871.html
   My bibliography  Save this article

Representing and Validating Cultural Heritage Knowledge Graphs in CIDOC-CRM Ontology

Author

Listed:
  • Ghazal Faraj

    (Data Science and Engineering Department, Faculty of Informatics, ELTE University, Pázmány Péter stny. 1/C., 1117 Budapest, Hungary)

  • András Micsik

    (Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network (ELKH), Lágymányosi u. 11., 1111 Budapest, Hungary)

Abstract

In order to unify access to multiple heterogeneous sources of cultural heritage data, many datasets were mapped to the CIDOC-CRM ontology. CIDOC-CRM provides a formal structure and definitions for most cultural heritage concepts and their relationships. The COURAGE project includes historic data concerning people, organizations, cultural heritage collections, and collection items covering the period between 1950 and 1990. Therefore, CIDOC-CRM seemed the optimal choice for describing COURAGE entities, improving knowledge sharing, and facilitating the COURAGE dataset unification with other datasets. This paper introduces the results of translating the COURAGE dataset to CIDOC-CRM semantically. This mapping was implemented automatically according to predefined mapping rules. Several SPARQL queries were applied to validate the migration process manually. In addition, multiple SHACL shapes were conducted to validate the data and mapping models.

Suggested Citation

  • Ghazal Faraj & András Micsik, 2021. "Representing and Validating Cultural Heritage Knowledge Graphs in CIDOC-CRM Ontology," Future Internet, MDPI, vol. 13(11), pages 1-15, October.
  • Handle: RePEc:gam:jftint:v:13:y:2021:i:11:p:277-:d:667871
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/13/11/277/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/13/11/277/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:13:y:2021:i:11:p:277-:d:667871. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.