An Ontology and Data Infrastructure for Publishing and Using Biographical Linked Data

Abstract

This paper describes the ontology model and published datasets of a digitized biographical person register. The applied ontology model is designed to represent people via their enduring roles and perduring lifetime events. The model is designed to support 1) prosopographical Digital Humanities research, 2) linking to resources in semantic Cultural Heritage portals, and 3) semantic data validation and enrichment by using SPARQL queries. The linked data approach enables to enrich a person’s biography by interlinking it with space and time related biographical events, persons relating by social contacts or family relations, historical events, and personal achievements.