Description

Title An Ecosystem for Linked Humanities Data
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 sufficiently well described data. For the field of socio-economic history, data usually comes in a tabular form. Existing efforts 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 first results by showing how our system facilitates two use cases in socio-economic history.

Other presentations by Rinke Hoekstra

DateTitle
30 March 2009 Representing Legal Knowledge on the Semantic Web
18 January 2010 BestPortal and BestMap: Lessons Learned in Lightweight Legal Information Serving
21 February 2011 COMMIT P23
05 September 2011 MetaLex Document Server
22 October 2012 A Slightly Different Web of Data
27 May 2013
11 November 2013
23 September 2013
31 March 2014
05 January 2015 Peer review, selection by quality or lottery?
02 November 2015 Throwaway Science
06 June 2016 An Ecosystem for Linked Humanities Data
23 January 2017