Bio CRM: A Data Model for Representing Biographical Data for Prosopographical Research

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

16 Sitaatiot (Scopus)
118 Lataukset (Pure)


Biographies make a promising application case of Linked Data: they can be used, e.g., as a basis for Digital Humanities research in prosopography and as a key data and linking resource in semantic Cultural Heritage (CH) portals. In both use cases, a semantic data model for harmonizing and interlinking heterogeneous data from different sources is needed. This paper presents such a data model, Bio CRM, with the following key ideas: 1) The model is a domain specific extension of CIDOC CRM, making it applicable to not only biographical data but to other CH data, too. 2) The model makes a distinction between enduring unary roles of actors, their enduring binary relationships, and perduing events, where the participants can take different roles modeled as a role concept hierarchy. 3) The model can be used as a basis for semantic data validation and enrichment by reasoning. 4) The enriched data conforming to Bio CRM is targeted to be used by SPARQL queries in a flexible ways using a hierarchy of roles in which participants can be involved in events.
OtsikkoProceedings of the Second Conference on Biographical Data in a Digital World 2017
ToimittajatAntske Fokkens, Serge ter Braake, Ronald Sluijter, Paul Arthur, Eveline Wandl-Vogt
KustantajaRWTH Aachen University
TilaJulkaistu - 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaBiographical Data in a Digital World - Ars Electronica Linz, Linz, Itävalta
Kesto: 6 marrask. 20177 marrask. 2017
Konferenssinumero: 2


NimiCEUR Workshop Proceedings
ISSN (elektroninen)1613-0073


WorkshopBiographical Data in a Digital World


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