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A semiotic approach for the generation of themed photo narratives

A semiotic approach for the generation of themed photo narratives
A semiotic approach for the generation of themed photo narratives
A wide variety of systems could be considered 'narrative systems', either directly working towards generating rich narratives or, more frequently, because they present or handle information in a narrative context. These narratives, generated or otherwise handled, may contain themes; an essential part of the subtext of narrative communicating important concepts outside the capabilities of the literal meaning of the content and forming the thematic cohesion that aids the flow of the presented narrative. However despite this very little work has been undertaken to understand or take advantage of these themes, particularly in narrative generation where the presence of well defined themes may improve the richness of those generated narratives. In this paper we evaluate the performance of a system utilising a thematic model in order to generate simple narratives in the form of photo montages compared to a keyword based system that does not. The experiment demonstrates that the system utilising the thematic model is capable of successfully connoting themes within these narratives. It also shows that the relevance of the resulting narratives to the titles used to generate them is higher in the thematic system than those generated by the other system.
narrative, narrative generation, thematics, folksonomies, semiotics
978-1-4503-0041-4
19-28
Hargood, Charlie
9c24b7b0-ee48-41ba-9868-5b97b804f7d3
Millard, David E.
4f19bca5-80dc-4533-a101-89a5a0e3b372
Weal, Mark J.
e8fd30a6-c060-41c5-b388-ca52c81032a4
Hargood, Charlie
9c24b7b0-ee48-41ba-9868-5b97b804f7d3
Millard, David E.
4f19bca5-80dc-4533-a101-89a5a0e3b372
Weal, Mark J.
e8fd30a6-c060-41c5-b388-ca52c81032a4

Hargood, Charlie, Millard, David E. and Weal, Mark J. (2010) A semiotic approach for the generation of themed photo narratives. HT '10. Proceedings of the 21st ACM conference on Hypertext and hypermedia, Canada. 13 - 16 Jun 2010. pp. 19-28 .

Record type: Conference or Workshop Item (Paper)

Abstract

A wide variety of systems could be considered 'narrative systems', either directly working towards generating rich narratives or, more frequently, because they present or handle information in a narrative context. These narratives, generated or otherwise handled, may contain themes; an essential part of the subtext of narrative communicating important concepts outside the capabilities of the literal meaning of the content and forming the thematic cohesion that aids the flow of the presented narrative. However despite this very little work has been undertaken to understand or take advantage of these themes, particularly in narrative generation where the presence of well defined themes may improve the richness of those generated narratives. In this paper we evaluate the performance of a system utilising a thematic model in order to generate simple narratives in the form of photo montages compared to a keyword based system that does not. The experiment demonstrates that the system utilising the thematic model is capable of successfully connoting themes within these narratives. It also shows that the relevance of the resulting narratives to the titles used to generate them is higher in the thematic system than those generated by the other system.

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More information

Published date: 14 June 2010
Venue - Dates: HT '10. Proceedings of the 21st ACM conference on Hypertext and hypermedia, Canada, 2010-06-13 - 2010-06-16
Keywords: narrative, narrative generation, thematics, folksonomies, semiotics
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 271037
URI: https://eprints.soton.ac.uk/id/eprint/271037
ISBN: 978-1-4503-0041-4
PURE UUID: 60181452-a499-4200-8f6f-209ff6623ac4
ORCID for David E. Millard: ORCID iD orcid.org/0000-0002-7512-2710
ORCID for Mark J. Weal: ORCID iD orcid.org/0000-0001-6251-8786

Catalogue record

Date deposited: 09 May 2010 11:33
Last modified: 06 Jun 2018 13:08

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