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Adapting historical drama for the web: a model for metadata backed publishing of historical drama programmes

Adapting historical drama for the web: a model for metadata backed publishing of historical drama programmes

Davies, Rosamund, Jewell, Michael and Rissen, Paul (2013) Adapting historical drama for the web: a model for metadata backed publishing of historical drama programmes. In: NHT'13: Narrative and Hypertext at the ACM Hypertext Conference Proceedings. ACM Digital Library, pp. 1-4.

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Abstract

In this paper we describe how creative writing techniques were used to develop a non-linear model of narrative structure for historical drama and how an ontology was developed to facilitate publishing it on the web as transmedia content.

Item Type: Conference Proceedings
Title of Proceedings: NHT'13: Narrative and Hypertext at the ACM Hypertext Conference Proceedings
Additional Information: [1] Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. [2] This research is funded in part by the EPSRC and AHRC PATINA project through the RCUK Digital Economy programme (EP/H042806/1), and in part by the EU DESIRE network.
Uncontrolled Keywords: narrative, transmedia, linked data, modeling
Subjects: P Language and Literature > PN Literature (General)
Z Bibliography. Library Science. Information Resources > Z004 Books. Writing. Paleography
Pre-2014 Departments: School of Humanities & Social Sciences
School of Humanities & Social Sciences > Contemporary Media Arts & New Sciences Research Group
School of Humanities & Social Sciences > Department of Communications & Creative Arts
Related URLs:
Last Modified: 14 Oct 2016 09:24
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/9949

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