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DDB-KG: The German Bibliographic Heritage in a Knowledge Graph

DDB-KG: The German Bibliographic Heritage in a Knowledge Graph

Published: 2021 Oktober
Herausgeber: Yasunobu Sumikawa, Ryohei Ikejiri, Antoine Doucet, Eva Pfanzelter, Mohammed Hasanuzzaman, Gaël Dias, Ian Milligan, Adam Jatowt
Buchtitel: The 6th International Workshop on Computational History (HistoInformatics2021), co-located at JCDL2021
Ausgabe: Vol-2981
Verlag: CEUR workshop
Organisation: HistoInformatics 2021

Nicht-referierte Veröffentlichung


Under the German government’s initiative “NEUSTART Kultur”, the German Digital Library or Deutsche Digitale Bibliothek (DDB) is undergoing improvements to enhance user-experience. As an initial step, emphasis is placed on creating a knowledge graph from the bibliographic record collection of the DDB. This paper discusses the challenges facing the DDB in terms of retrieval and the solutions in addressing them. In particular, limitations of the current data model or ontology to represent bibliographic metadata is analyzed through concrete examples. This study presents the complete ontological mapping from DDB-Europeana Data Model (DDB-EDM) to FaBiO, and a prototype of the DDB-KG made available as a SPARQL endpoint. The suitabiliy of the target ontology is demonstrated with SPARQL queries formulated from competency questions.

ISSN: 1613-0073
Download: Media:DD.pdf
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Information Service Engineering