=Paper=
{{Paper
|id=Vol-3370/keynote2
|storemode=property
|title=Creating and Visualising Semantic Story Maps
|pdfUrl=https://ceur-ws.org/Vol-3370/keynote2.pdf
|volume=Vol-3370
|authors=Valentina Bartalesi
|dblpUrl=https://dblp.org/rec/conf/ecir/Bartalesi23
}}
==Creating and Visualising Semantic Story Maps==
https://ceur-ws.org/Vol-3370/keynote2.pdf
Creating and Visualising Semantic Story Maps
Valentina Bartalesi
ISTI-CNR, Pisa, Italy
Abstract
A narrative is a conceptual basis of collective human understanding. Humans use stories to
represent characters’ intentions, feelings and the attributes of objects, and events. A widely-held
thesis in psychology to justify the centrality of narrative in human life is that humans make
sense of reality by structuring events into narratives. Therefore, narratives are central to human
activity in cultural, scientific, and social areas. Story maps are computer science realizations
of narratives based on maps. They are online interactive maps enriched with text, pictures,
videos, and other multimedia information, whose aim is to tell a story over a territory. This
talk presents a semi-automatic workflow that, using a CRM-based ontology and the Semantic
Web technologies, produces semantic narratives in the form of story maps (and timelines as
an alternative representation) from textual documents. An expert user first assembles one
territory-contextual document containing text and images. Then, automatic processes use
natural language processing and Wikidata services to (i) extract entities and geospatial points
of interest associated with the territory, (ii) assemble a logically-ordered sequence of events
that constitute the narrative, enriched with entities and images, and (iii) openly publish online
semantic story maps and an interoperable Linked Open Data-compliant knowledge base for
event exploration and inter-story correlation analyses. Once the story maps are published, the
users can review them through a user-friendly web tool. Overall, our workflow complies with
Open Science directives of open publication and multi-discipline support and is appropriate to
convey "information going beyond the map" to scientists and the large public. As demonstrations,
the talk will show workflow-produced story maps to represent (i) 23 European rural areas across
16 countries, their value chains and territories, (ii) a Medieval journey, (iii) the history of the
legends, biological investigations, and AI-based modelling for habitat discovery of the giant
squid Architeuthis dux.
In: R. Campos, A. Jorge, A. Jatowt, S. Bhatia, M. Litvak (eds.): Proceedings of the Text2Story’23 Workshop, Dublin
(Republic of Ireland), 2-April-2023
� valentina.bartalesi@isti.cnr.it (V. Bartalesi)
� https://www.linkedin.com/in/valentina-bartalesi-lenzi-7a2a2344/ (V. Bartalesi)
� 0000-0001-9024-0822 (V. Bartalesi)
© 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
CEUR
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http://ceur-ws.org
ISSN 1613-0073
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Short Bio
Valentina Bartalesi Lenzi is a researcher at the CNR-ISTI and external professor of Semantic Web
in the Computer Science master’s degree course at the University of Pisa. She earned her PhD
in Information Engineering from the University of Pisa and graduated in Digital Humanities
from the University of Pisa. Her research fields mainly concern Knowledge Representation,
Semantic Web technologies, and the development of formal ontologies for representing textual
content and narratives. She has participated in several European and National research projects,
including MINGEI, PARTHENOS, E-RIHS PP, IMAGO. She is the author of over 50 peer-reviewed
articles in national and international conferences and scientific journals.
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