Inproceedings3827: Unterschied zwischen den Versionen
Cq9199 (Diskussion | Beiträge) (Die Seite wurde neu angelegt: „{{Publikation Erster Autor |ErsterAutorNachname=Tietz |ErsterAutorVorname=Tabea }} {{Publikation Author |Rank=2 |Author=Jörg Waitelonis }} {{Publikation Autho…“) |
Xi5455 (Diskussion | Beiträge) K |
||
| Zeile 28: | Zeile 28: | ||
}} | }} | ||
{{Inproceedings | {{Inproceedings | ||
| − | |Referiert= | + | |Referiert=Ja |
|Title=Linked Stage Graph | |Title=Linked Stage Graph | ||
|Year=2019 | |Year=2019 | ||
| Zeile 39: | Zeile 39: | ||
}} | }} | ||
{{Publikation Details | {{Publikation Details | ||
| + | |Abstract=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-W ̈urttemberg 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. | ||
|Link=http://ceur-ws.org/Vol-2451/ | |Link=http://ceur-ws.org/Vol-2451/ | ||
|Forschungsgruppe=Information Service Engineering | |Forschungsgruppe=Information Service Engineering | ||
}} | }} | ||
Version vom 17. November 2022, 12:47 Uhr
Linked Stage Graph
Linked Stage Graph
Published: 2019
September
Herausgeber: Mehwish Alam, Ricardo Usbeck, Tassilo Pellegrini, Harald Sack, York Sure-Vetter
Buchtitel: Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems (SEMANTiCS 2019)
Ausgabe: 2451
Verlag: Ceur-WS.org
Organisation: Posters and Demo Track of the 15th International Conference on Semantic Systems (SEMANTiCS 2019)
Referierte Veröffentlichung
BibTeX
Kurzfassung
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-W ̈urttemberg 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.
Weitere Informationen unter: Link
Information Service Engineering