The Web Science Trust

Crowdsourcing Linked Data From Shakespeare To Dr Who.

Lawrence, K. Faith (2011) Crowdsourcing Linked Data From Shakespeare To Dr Who. pp. 1-3. In: Proceedings of the ACM WebSci'11, June 14-17 2011, Koblenz, Germany.

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Official URL: http://www.websci11.org/fileadmin/websci/Posters/185_paper.pdf

Abstract

In this paper we present ongoing research into the development of a linked data repository of cultural narratives. Drawing from both modern and historical sources we expand on earlier work automatically generating RDF from TEI performance texts. Building on this foundation we employ a crowdsourcing methodology to correct errors in the descriptions and enhance the data with information which cannot be drawn from the text. We present this approach as a way to facilitate correction through the 'many hands' approach while also enabling us to analyse, explore and highlight the diversity of interpretation that exists for a text. In doing so we present an open resource aimed at supporting and inspiring new humanities, social science and computer science scholarship.

Item Type:Conference or Workshop Item (Poster)
Web Science Comments:WebSci Conference 2011
Subjects:WS1 Computer Science > WS13 Semantic Web
WS3 Web Engineering
Web Science Events > Web Science 2011
ID Code:499
Deposited By: Lisa Sugiura
Deposited On:07 Jun 2011 16:39
Last Modified:25 Oct 2011 17:11

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