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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

3 Sitaatiot (Scopus)
54 Lataukset (Pure)

Abstrakti

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.
AlkuperäiskieliEnglanti
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
Sivut59-66
TilaJulkaistu - 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaBiographical Data in a Digital World - Ars Electronica Linz, Linz, Itävalta
Kesto: 6 marraskuuta 20177 marraskuuta 2017
Konferenssinumero: 2
https://sites.google.com/view/bd2017/home

Julkaisusarja

NimiCEUR Workshop Proceedings
Vuosikerta2119
ISSN (elektroninen)1613-0073

Conference

ConferenceBiographical Data in a Digital World
LyhennettäBD
MaaItävalta
KaupunkiLinz
Ajanjakso06/11/201707/11/2017
www-osoite

Sormenjälki

Sukella tutkimusaiheisiin 'Bio CRM: A Data Model for Representing Biographical Data for Prosopographical Research'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

Siteeraa tätä