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Storyscope: using theme and setting to guide story enrichment from external data sources

Wolff, Annika; Mulholland, Paul and Collins, Trevor (2013). Storyscope: using theme and setting to guide story enrichment from external data sources. In: 24th ACM Conference on Hypertext and Social Media, 1 - 3 May 2013, Paris, France, pp. 79–88.

URL: http://dl.acm.org/citation.cfm?id=2481501
DOI (Digital Object Identifier) Link: https://doi.org/10.1145/2481492.2481501
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Abstract

Museum narratives, like other forms of narrative, are developed from an underlying conceptualization of events that can be referred to as the story. Storyscope is a web-based environment for constructing and exploring museum narratives and their underlying concepts. Storyscope aligns with a formal model of story and narrative specialized for a museum context called the curate ontology. This paper will explore the plot-reasoning component of Storyscope that provides intelligent support for the selection of events within the story and their interconnection as a coherent structure to be told within the narrative. Plot reasoning uses both internal knowledge and external information sources, such as Freebase and Factforge, to propose events that can be used to incrementally develop storylines and to emplot a museum narrative. The approach taken uses the notions of setting and theme to search and rank events in terms of their relevance to the developing storyline. This paces the expansion of the story in each step, ensures that the story develops in a direction that is of interest to the author and helps to maintain narrative cohesion, an important goal of story-building. Plot development is also supported by methods for clustering events into related plot elements and by using information from Freebase to propose different types of influence relations between story events.

Item Type: Conference or Workshop Item
Copyright Holders: 2013 ACM
Extra Information: HT '13 Proceedings of the 24th ACM Conference on Hypertext and Social Media
ISBN: 978-1-4503-1967-6
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Research Group: Centre for Research in Computing (CRC)
Item ID: 37832
Depositing User: Kay Dave
Date Deposited: 21 Jun 2013 08:49
Last Modified: 04 Oct 2016 11:28
URI: http://oro.open.ac.uk/id/eprint/37832
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