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A web tool to create and visualise semantic story maps

Contributo in Atti di convegno
Data di Pubblicazione:
2023
Abstract:
This paper presents the Story Map Building and Visualizing Tool (SMBVT), a sofware that allows users to create and visualise semantic story maps using a user-friendly web interface. The tool uses Wikidata as external reference knowledge base and exploits Semantic Web technologies in the back-end system to represent stories modelled on the Narrative ontology, a CRM-based vocabulary for representing narratives. SMBVT is entirely open-source and accessible afer free registration.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Semantic Web; Ontology; Story maps; Narratives; Story map building and visualizing tool; Narrative ontology
Elenco autori:
Pratelli, Nicolo'; Lenzi, Emanuele; BARTALESI LENZI, Valentina
Autori di Ateneo:
BARTALESI LENZI VALENTINA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/434738
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/434738/190992/prod_480423-doc_197332.pdf
Titolo del libro:
Text2Story 2023 - Sixth Workshop on Narrative Extraction From Texts
Pubblicato in:
CEUR WORKSHOP PROCEEDINGS
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URL

https://ceur-ws.org/Vol-3370/paper18.pdf
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