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.
Highlights
P131 is identified byP1 is identified by P143 joined P7 took place atP98 brought into life P2 has typeEducational background Main member of E74 Group Creator ofMain actor of Founder
This paper aims to prove the possibility of semantically mapping and aligning the COURAGE dataset, which represents an important part of recent European history that is hard to find in other datasets, to the Committee for Documentation (CIDOC)-CRM ontology [10]
At the beginning of the COURAGE project, the application of CIDOC CRM was not an option for several reasons; complete control was necessary over the ontology, as its structure was evolving in an agile way, and the input of facts had to be supported with a historian-friendly user interface
Summary
Many recent studies have worked on mapping their cultural heritage datasets to CIDOC-CRM. The evaluation of the above mentioned mappings was limited to generating questions for researchers [11,15], evaluating a sample set of archival records [12], submitting a questionnaire to several categories of users [18], or checking inferred properties and SPARQL queries [14]. This paper maps valuable data collection to CIDOCCRM in order to be more formalized and accessible It demonstrates the applied mapping process in detail due to COURAGE characteristics which are different from the previously mentioned knowledge graphs. This paper has a novel approach by mapping the COURAGE dataset to CIDOC-CRM and validating the mapping and data models with both SHACL and SPARQL queries
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