Abstract
This paper presents a comparative analysis of the various formal models that can be used to represent a story. The analysis focuses on two types of representation families: semantics-based representations, which use ontologies, and process-based representations. The aim is to provide a comparative overview of the models, analyzing their weaknesses and strengths, in order to determine the formal model that best lends itself to modeling a story by highlighting its main components in terms of the actors involved, events, actions, spatio-temporal relations, as well as cause and effect, in hopes of identifying the formal story representation model that can be used as the starting point for developing a framework that can perform automated storytelling generation. Finally, examples are given of the uses of these models to represent a mythological story.
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The work described in this paper has been supported by the research project RASTA: Realtà Aumentata e Story-Telling Automatizzato per la valorizzazione di Beni Culturali ed Itinerari; Italian MUR PON Proj. ARS01 00540.
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Colucci Cante, L., Di Martino, B., Graziano, M. (2023). A Comparative Analysis of Formal Storytelling Representation Models. In: Barolli, L. (eds) Complex, Intelligent and Software Intensive Systems. CISIS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 176. Springer, Cham. https://doi.org/10.1007/978-3-031-35734-3_33
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