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Appears in Collections:Faculty of Social Sciences Journal Articles
Peer Review Status: Refereed
Title: An ecosystem for linked humanities data
Author(s): Hoekstra, Rinke
Merono-Penuela, Albert
Dentler, Kathrin
Rijpma, Auke
Zijdeman, Richard
Zandhuis, Ivo
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Keywords: Digital Humanities
Structured Data
Linked Data
Issue Date: 2016
Citation: Hoekstra R, Merono-Penuela A, Dentler K, Rijpma A, Zijdeman R & Zandhuis I (2016) An ecosystem for linked humanities data. In: Adamou A, Daga E & Isaksen L (eds.) Proceedings of the 1st Workshop on Humanities in the Semantic Web (WHiSe 2016). CEUR Workshop Proceedings, 1608. 1st Workshop on Humanities in the Semantic Web (WHiSe 2016), Anissaras, Greece, 29.05.2016. Aachen: CEUR, pp. 85-96.
Series/Report no.: CEUR Workshop Proceedings, 1608
Abstract: The main promise of the digital humanities is the ability to perform scholar studies at a much broader scale, and in a much more reusable fashion. The key enabler for such studies is the availability of suciently well described data. For the eld of socio-economic history, data usually comes in a tabular form. Existing eorts to curate and publish datasets take a top-down approach and are focused on large collections. This paper presents QBer and the underlying structured data hub, which address the long tail of research data by catering for the needs of individual scholars. QBer allows researchers to publish their (small) datasets, link them to existing vocabularies and other datasets, and thereby contribute to a growing collection of interlinked datasets.We present QBer, and evaluate our rst results by showing how our system facilitates two use cases in socio-economic history.
Rights: Authors retain copyright. Copying permitted for private and academic purposes.

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