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

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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.
Original languageEnglish
Title of host publicationProceedings of the Second Conference on Biographical Data in a Digital World 2017
EditorsAntske Fokkens, Serge ter Braake, Ronald Sluijter, Paul Arthur, Eveline Wandl-Vogt
PublisherRWTH Aachen University
Publication statusPublished - 2018
MoE publication typeA4 Conference publication
EventBiographical Data in a Digital World - Ars Electronica Linz, Linz, Austria
Duration: 6 Nov 20177 Nov 2017
Conference number: 2

Publication series

NameCEUR Workshop Proceedings
ISSN (Electronic)1613-0073


WorkshopBiographical Data in a Digital World
Abbreviated titleBD
Internet address


  • Biographical representation
  • Data models
  • Event-based modeling
  • Linked data
  • Prosopography
  • Role-centric modeling


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