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Linked stage graph

Tietz, Tabea; Waitelonis, J.; Zhou, Kanran; Felgentreff, P.; Meyer, N.; Weber, A.; Sack, Harald

Archives today are publishing their cultural heritage data on the Web for exploration. However, for archive novices the traditional archival structures often are not intuitive and difficult to understand, and thus challenges data access and consumption. To tackle this problem, Linked Stage Graph was developed, a knowledge graph (KG) on the foundation of historical data about the Stuttgart State Theater. The data was made available by the Baden-Wuerttemberg State Archives for the Coding da Vinci hackathon. This demo paper contributes the KG,a SPARQL endpoint, named entity extraction and linking to existing authoritative KGs as well as a dedicated user interface for exploration.

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Verlagsausgabe §
DOI: 10.5445/IR/1000100183
Veröffentlicht am 06.12.2019
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 1613-0073
KITopen-ID: 1000100183
Erschienen in Posters and Demos at SEMANTiCS 2019: Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems, co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Germany, September 9th to 12th, 2019. Ed.: M. Alam
Veranstaltung 15th International Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Deutschland, 09.09.2019 – 12.09.2019
Serie CEUR Workshop Proceedings ; 2451
Schlagwörter cultural heritage; linked data; knowledge graph; UL
Nachgewiesen in Scopus
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