Intelligenza Artificiale per i beni culturali

Applicazioni delle tecniche sviluppate dall'intelligenza artificiale (ad esempio, metodi di trattamento del linguaggio e dei formati multimediali, metodi di apprendimento automatico, modellazione dell’utente) per supportare tramite strumenti digitali (applicazioni web-based, applicazioni mobili, servizi online) le attività di studio e di ricerca dei beni culturali e la loro conoscenza presso il pubblico, con particolare attenzione per l’interdisciplinarità nell’ambito della ricerca e l’inclusività in quello della disseminazione.

 

 

Referenti

Rossana Damiano (Dipartimento di Informatica)

 

Daniele Radicioni (Dipartimento di Informatica)

 

 

Pubblicazioni

Marco Stranisci, Viviana Patti, Rossana Damiano. “Representing the underrepresented: a dataset of post-colonial, and migrant writers”. In: Proc. of LDK 2021, 3rd Int. Conference on Language, Data and Knowledge. In corso di pubblicazione.

 

Luis Emilio Bruni, Enrico Daga, Rossana Damiano, Lily Diaz, Tsvi Kuflik, Antonio Lieto,  Aldo Gangemi, Paul Mulholland, Silvio Peroni, Sofia Pescarin, Alan Wecker. “Towards Advanced Interfaces for Citizen Curation”. In: AVI²CH@ AVI, 2020. 

 

Annamaria Goy, Davide Colla, Diego Magro, Cristina Accornero, Fabrizio Loreto, Daniele Radicioni. “Building semantic metadata for historical archives through an ontology-driven user interface”. In: ACM Journal on Computing and Cultural Heritage, vol. 13, n. 3, 2020, pp. 1-36.

 

Vincenzo Lombardo, Rossana Damiano, Tugce Karatas, Claudio Mattutino. “Linking ontological classes and archaeological forms”. In: International Semantic Web Conference, 2020, pp. 700-715.

 

Vincenzo Lombardo, Tugce Karatas, Rossana Damiano, Claudio Mattutino, Mariko Sasakura. “Bringing Digital Curation to Archaeological Projects: Evidence from the BeArchaeo Project”. In: CEUR Workshop Proceedings, 2020, Vol. 2687. 

 

Rossana Damiano. “Investigating the Effectiveness of Narrative Relations for the Exploration of Cultural Heritage Archives: A Case Study on the Labyrinth system”. In: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization, 2019, pp. 417-423.

 

Anna Goy, Rossana Damiano, Fabrizio Loreto, Diego Magro, Stefano Musso, Daniele Radicioni, Cristina Accornero, Davide Colla, Antonio Lieto, Enrico Mensa, Marco Rovera, Dunia Astrologo, Bruno Boniolo, Matteo D’Ambrosio. “PRiSMHA (Providing Rich Semantic Metadata for Historical Archives)”. In: Proceedings of the Joint Ontology Workshops 2017, ed. by Stefano Borgo, Oliver Kutz, Frank Loebe, and Fabian Neuhaus, Episode 3: The Tyrolean Autumn of Ontology, Vol. 2050. CEUR, 2017.

 

Rossana, Damiano, Vincenzo Lombardo. “Labyrinth 3d. cultural archetypes for exploring media archives”. In: Digital Creativity, vol. 27, n. 3, 2016, pp. 234-255.

 

Rossana Damiano, Vincenzo Lombardo, Antonio Lieto, Davide Borra. “Exploring cultural heritage repositories with creative intelligence. The Labyrinth 3D system”. In: Entertainment Computing, 16, 2016, pp. 41-52.

 

Vincenzo Lombardo, Antonio Pizzo, Rossana Damiano. “Safeguarding and accessing drama as intangible cultural heritage”. In: Journal on Computing and Cultural Heritage (JOCCH), vol. 9, n. 1, 2016, pp. 1-26.

 

Rossana Damiano, Vincenzo Lombardo, Antonio Lieto. “Visual metaphors for semantic cultural heritage”. In: 2015 7th International Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN), 2015, pp. 100-109.

 

Rossana Damiano, Antonio Lieto, Vincenzo Lombardo. “Ontology-based visualisation of cultural heritage”. In: 2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems, 2014, pp. 558-563.

 

Antonio Lieto, Rossana Damiano, Vanessa Michielon. “Conceptual models for intangible art. A formal modeling proposal”. In: Mimesis Journal. Scritture della performance, vol. 3, n. 2, 2014, pp. 70-78.

 

Daniele Radicioni, Marco Botta. “A Methodological Contribution to Music Sequences Analysis”. In: Foundations of Intelligent Systems, ed. by Floriana Esposito and Zbigniew W. Ras, Berlin, Springer-Verlag, 2006, n. 4203, pp. 409–418.

 

Daniele Radicioni, Roberto Esposito. “Learning Tonal Harmony from Bach Chorales”. In: Proceedings of the 7th International Conference on Cognitive Modelling, ed. by Danilo Fum, Fabio del Missier and Andrea Stocco, 2006.