2024
Cante, Luigi Colucci; Martino, Beniamino Di; Graziano, Mariangela; Branco, Dario; Pezzullo, Gennaro Junior
Automated Storytelling Technologies for Cultural Heritage Proceedings Article
In: Barolli, Leonard (Ed.): Advances in Internet, Data & Web Technologies, pp. 597–606, Springer Nature Switzerland, Cham, 2024, ISBN: 978-3-031-53555-0.
@inproceedings{10.1007/978-3-031-53555-0_57,
title = {Automated Storytelling Technologies for Cultural Heritage},
author = {Luigi Colucci Cante and Beniamino Di Martino and Mariangela Graziano and Dario Branco and Gennaro Junior Pezzullo},
editor = {Leonard Barolli},
isbn = {978-3-031-53555-0},
year = {2024},
date = {2024-01-01},
booktitle = {Advances in Internet, Data & Web Technologies},
pages = {597–606},
publisher = {Springer Nature Switzerland},
address = {Cham},
abstract = {The awareness of the importance of communicating cultural heritage through innovative and automated means is steadily increasing. This awareness is fueled by the need to promote cultural heritage knowledge in accessible and engaging ways for an increasingly digital audience. This article aims to examine in detail the various methodologies used in the creation of automated storytelling for historical cultural heritage communication. In particular, attention is given to models based on large language models, such as those derived from advanced neural networks, which demonstrate significant potential in generating rich and engaging narratives. Another key aspect of the analysis concerns the use of chatbots in the context of automated storytelling. The possibilities offered by interactive conversation managed by virtual agents are explored, which can enhance the user experience through personalized dialogues and contextualized information. Additionally, the article focuses on various tools dedicated to automatic storytelling writing, evaluating their effectiveness and versatility in the specific context of historical cultural heritage. These tools are essential to facilitate the creative process and ensure narrative coherence. A significant part of the analysis addresses automated storytelling models based on processes, exploring how the sequence of events and concepts can be managed automatically to construct meaningful and relevant stories from a historical perspective. Furthermore, applications of ontologies and other tools are examined with the aim of improving the structure and understanding of narratives, ensuring effective linkage between different elements of historical cultural heritage. The overall goal of the article is to provide a comprehensive view of the current landscape of automated storytelling techniques, highlighting the still-open challenges and potential future development directions in this field.},
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pubstate = {published},
tppubtype = {inproceedings}
}
The awareness of the importance of communicating cultural heritage through innovative and automated means is steadily increasing. This awareness is fueled by the need to promote cultural heritage knowledge in accessible and engaging ways for an increasingly digital audience. This article aims to examine in detail the various methodologies used in the creation of automated storytelling for historical cultural heritage communication. In particular, attention is given to models based on large language models, such as those derived from advanced neural networks, which demonstrate significant potential in generating rich and engaging narratives. Another key aspect of the analysis concerns the use of chatbots in the context of automated storytelling. The possibilities offered by interactive conversation managed by virtual agents are explored, which can enhance the user experience through personalized dialogues and contextualized information. Additionally, the article focuses on various tools dedicated to automatic storytelling writing, evaluating their effectiveness and versatility in the specific context of historical cultural heritage. These tools are essential to facilitate the creative process and ensure narrative coherence. A significant part of the analysis addresses automated storytelling models based on processes, exploring how the sequence of events and concepts can be managed automatically to construct meaningful and relevant stories from a historical perspective. Furthermore, applications of ontologies and other tools are examined with the aim of improving the structure and understanding of narratives, ensuring effective linkage between different elements of historical cultural heritage. The overall goal of the article is to provide a comprehensive view of the current landscape of automated storytelling techniques, highlighting the still-open challenges and potential future development directions in this field.
Branco, Dario; Coppa, Antonio; D'Angelo, Salvatore; Gigli, Stefania Quilici; Renda, Giuseppina; Venticinque, Salvatore
Advanced IT Technologies Applied to Archaeological Park of Norba (Latium, Italy) Proceedings Article
In: Barolli, Leonard (Ed.): Advances in Internet, Data & Web Technologies, pp. 629–638, Springer Nature Switzerland, Cham, 2024, ISBN: 978-3-031-53555-0.
@inproceedings{10.1007/978-3-031-53555-0_60,
title = {Advanced IT Technologies Applied to Archaeological Park of Norba (Latium, Italy)},
author = {Dario Branco and Antonio Coppa and Salvatore D'Angelo and Stefania Quilici Gigli and Giuseppina Renda and Salvatore Venticinque},
editor = {Leonard Barolli},
isbn = {978-3-031-53555-0},
year = {2024},
date = {2024-01-01},
booktitle = {Advances in Internet, Data & Web Technologies},
pages = {629–638},
publisher = {Springer Nature Switzerland},
address = {Cham},
abstract = {This study proposes the integrated utilization of advanced information technologies to enrich conservation, research, and visitors' experience at the Norba Archaeological Park, located in Latium, Italy. Using 3D digitalization, augmented reality (AR), and geographical information systems (GIS) technologies, this work aims to transform the archaeological and historical heritage into material that can be used via smart devices, thus improving and expanding the methodologies of fruition.},
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pubstate = {published},
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This study proposes the integrated utilization of advanced information technologies to enrich conservation, research, and visitors' experience at the Norba Archaeological Park, located in Latium, Italy. Using 3D digitalization, augmented reality (AR), and geographical information systems (GIS) technologies, this work aims to transform the archaeological and historical heritage into material that can be used via smart devices, thus improving and expanding the methodologies of fruition.
2023
Cante, Luigi Colucci; Martino, Beniamino Di; Graziano, Mariangela
A Comparative Analysis of Formal Storytelling Representation Models Proceedings Article
In: Barolli, Leonard (Ed.): Complex, Intelligent and Software Intensive Systems, pp. 327–336, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-35734-3.
@inproceedings{10.1007/978-3-031-35734-3_33,
title = {A Comparative Analysis of Formal Storytelling Representation Models},
author = {Luigi Colucci Cante and Beniamino Di Martino and Mariangela Graziano},
editor = {Leonard Barolli},
isbn = {978-3-031-35734-3},
year = {2023},
date = {2023-01-01},
booktitle = {Complex, Intelligent and Software Intensive Systems},
pages = {327–336},
publisher = {Springer Nature Switzerland},
address = {Cham},
abstract = {This paper presents a comparative analysis of the various formal models that can be used to represent a story. The analysis focuses on two types of representation families: semantics-based representations, which use ontologies, and process-based representations. The aim is to provide a comparative overview of the models, analyzing their weaknesses and strengths, in order to determine the formal model that best lends itself to modeling a story by highlighting its main components in terms of the actors involved, events, actions, spatio-temporal relations, as well as cause and effect, in hopes of identifying the formal story representation model that can be used as the starting point for developing a framework that can perform automated storytelling generation. Finally, examples are given of the uses of these models to represent a mythological story.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper presents a comparative analysis of the various formal models that can be used to represent a story. The analysis focuses on two types of representation families: semantics-based representations, which use ontologies, and process-based representations. The aim is to provide a comparative overview of the models, analyzing their weaknesses and strengths, in order to determine the formal model that best lends itself to modeling a story by highlighting its main components in terms of the actors involved, events, actions, spatio-temporal relations, as well as cause and effect, in hopes of identifying the formal story representation model that can be used as the starting point for developing a framework that can perform automated storytelling generation. Finally, examples are given of the uses of these models to represent a mythological story.
Amato, Alba; Branco, Dario; Venticinque, Salvatore; Renda, Giuseppina; Mataluna, Sabrina
Metadata and Semantic Annotation of Digital Heritage Assets: a case study Proceedings Article
In: 2023 IEEE International Conference on Cyber Security and Resilience (CSR), pp. 516-522, 2023.
@inproceedings{10224935,
title = {Metadata and Semantic Annotation of Digital Heritage Assets: a case study},
author = {Alba Amato and Dario Branco and Salvatore Venticinque and Giuseppina Renda and Sabrina Mataluna},
doi = {10.1109/CSR57506.2023.10224935},
year = {2023},
date = {2023-01-01},
booktitle = {2023 IEEE International Conference on Cyber Security and Resilience (CSR)},
pages = {516-522},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}