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Leveraging a Narrative Ontology to Query a Literary Text

Authors Anas Fahad Khan, Andrea Bellandi, Giulia Benotto, Francesca Frontini, Emiliano Giovannetti, Marianne Reboul

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Anas Fahad Khan
Andrea Bellandi
Giulia Benotto
Francesca Frontini
Emiliano Giovannetti
Marianne Reboul

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Anas Fahad Khan, Andrea Bellandi, Giulia Benotto, Francesca Frontini, Emiliano Giovannetti, and Marianne Reboul. Leveraging a Narrative Ontology to Query a Literary Text. In 7th Workshop on Computational Models of Narrative (CMN 2016). Open Access Series in Informatics (OASIcs), Volume 53, pp. 10:1-10:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016) https://doi.org/10.4230/OASIcs.CMN.2016.10

Abstract

In this work we propose a model for the representation of the narrative of a literary text. The model is structured in an ontology and a lexicon constituting a knowledge base that can be queried by a system. This narrative ontology, as well as describing the actors, locations, situations found in the text, provides an explicit formal representation of the timeline of the story. We will focus on a specific case study, that of the representation of a selected portion of Homer's Odyssey, in particular of the knowledge required to answer a selection of salient queries, formulated by a literary scholar. This work is being carried out within the framework of the Semantic Web by adopting models and standards such as RDF, OWL, SPARQL, and lemon among others.

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Keywords
  • Ontology
  • Lexicon
  • Computational Narratology
  • Time
  • Semantic Web

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