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Towards Linked Stage Graph 2.0 - a Knowledge Graph based Research Resource for the Performing Arts

Tietz, Tabea 1; Sack, Harald 1; Weis, Joëlle [Hrsg.]; Bunout, Estelle [Hrsg.]; Haider, Thomas [Hrsg.]; Helling, Patrick [Hrsg.]; Gerstmeier, Markus; Perschl, Tobias; Huber, Elisabeth; Haider, Thomas; Debbeler, Anke; Majka, Nicole
1 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)

Abstract:

The performing arts are complex, dynamic and embedded into societal and political systems. Providing means to research performing arts data is therefore crucial for understanding our history and culture. One of these efforts is Linked Stage Graph, a knowledge graph containing historical photographs and metadata of the Stuttgart State Theatres. While Linked Stage Graph has been well received by the cultural heritage community, still a number of challenges have to be overcome to create an even more technically and scientifically accurate research resource based on open standards and tools. This paper contributes a road map towards an improved, even more valuable and open resource. At the same time, this presentation paper constitutes an invitation to discuss use cases, data models and exploration environments for the performing arts.


Verlagsausgabe §
DOI: 10.5445/IR/1000169239
Veröffentlicht am 13.03.2024
Originalveröffentlichung
DOI: 10.5281/zenodo.10698238
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2024
Sprache Englisch
Identifikator KITopen-ID: 1000169239
Erschienen in Book of Abstracts - DHd2024
Veranstaltung DHd2024 (2024), Passau, Deutschland, 26.02.2024 – 01.03.2024
Verlag Zenodo
Seiten 260-264
Schlagwörter DHd2024, Paper, Vortrag, Performing Arts, Knowledge Graph, Research Data, Entdeckung, Modellierung, Bearbeitung, Bilder, Metadaten, Forschung
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