digital humanities; semantic web; deep learning; historical and cultural symmetries; reflection; curiosity
Abstract :
[en] Recent advances in semantic web and deep learning technologies enable new means for
the computational analysis of vast amounts of information from the field of digital humanities.
We discuss how some of the techniques can be used to identify historical and cultural symmetries
between different characters, locations, events or venues, and how these can be harnessed to develop
new strategies to promote intercultural and cross-border aspects that support the teaching and
learning of history and heritage. The strategies have been put to the test in the context of the
European project CrossCult, revealing enormous potential to encourage curiosity to discover new
information and increase retention of learned information
Disciplines :
Arts & humanities: Multidisciplinary, general & others Business & economic sciences: Multidisciplinary, general & others
Author, co-author :
Lopez-Nores, Martin; University of Vigo
Gustavo Bravo-Quezada, Omar; Universidad Politécnica Salesiana
Bassani, Maddalena; Università degli Studi di Padova
Antoniou, Angeliki; University of the Peloponnese
Lykourentzou, Ioanna; Utrecht University
Jones, Catherine ; University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Identités, Politiques, Sociétés, Espaces (IPSE)
Kontiza, Kalliopi; The National Gallery, London
González-Soutelo, Silvia; University of Vigo
Reboreda-Morillo, Susana; University of Vigo
Naudet, Yannick; Luxembourg Institute of Science & Technology - LIST
Vlachidis, Andreas; University College London - UCL
Bikakis, Antonis; University College London - UCL
Pazos-Arias, José Juan; Universidad Autónoma de Madrid
