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An Ontology-Based Chatbot to Enhance Experiential Learning in a Cultural Heritage Scenario

Italy is rich in cultural attractions, many known worldwide, others more hidden and unrecognized. Cultural attractions include tangible cultural assets (works of art, archaeological excavations, and churches) and intangible ones (music, poetry, and art). Today, given the pervasive diffusion of “smar...

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Autores principales: Casillo, Mario, De Santo, Massimo, Mosca, Rosalba, Santaniello, Domenico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9083409/
https://www.ncbi.nlm.nih.gov/pubmed/35547826
http://dx.doi.org/10.3389/frai.2022.808281
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author Casillo, Mario
De Santo, Massimo
Mosca, Rosalba
Santaniello, Domenico
author_facet Casillo, Mario
De Santo, Massimo
Mosca, Rosalba
Santaniello, Domenico
author_sort Casillo, Mario
collection PubMed
description Italy is rich in cultural attractions, many known worldwide, others more hidden and unrecognized. Cultural attractions include tangible cultural assets (works of art, archaeological excavations, and churches) and intangible ones (music, poetry, and art). Today, given the pervasive diffusion of “smart” devices, the intelligent use of modern technologies could play a crucial role in changing the habit of consulting and visiting cultural heritage mainly with traditional methodologies, making little or no use of the advantages coming from the more and more availability of digitalized resources. A realm of particular interest is “experiential learning” when applied to cultural heritage, where tourists more and more ask to be helped in discovering the richness of sites they explore. In this article, we will present an innovative chatbot-based system, called HeriBot, that supports experiential tourism. Our system has been developed and experimented with a research effort for applying ICT technologies to enhance the knowledge, valorization, and sustainable fruition of the Cultural Heritage related to the Archaeological Urban Park of Naples (PAUN—Parco Archeologico Urbano di Napoli). Our article starts exploiting the ontological approach based on a purpose ontology describing the Park Heritage. Using such an ontology, we designed a chatbot that can identify the specific characteristics and motivations of the tourist, defining language, tone, and visitable scenarios and, through the ontology, allows the visit to be transformed into a personalized educational opportunity. The system has been validated in terms of dialogue effectiveness and training efficiency by a panel of experts, and we present and discuss obtained results.
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spelling pubmed-90834092022-05-10 An Ontology-Based Chatbot to Enhance Experiential Learning in a Cultural Heritage Scenario Casillo, Mario De Santo, Massimo Mosca, Rosalba Santaniello, Domenico Front Artif Intell Artificial Intelligence Italy is rich in cultural attractions, many known worldwide, others more hidden and unrecognized. Cultural attractions include tangible cultural assets (works of art, archaeological excavations, and churches) and intangible ones (music, poetry, and art). Today, given the pervasive diffusion of “smart” devices, the intelligent use of modern technologies could play a crucial role in changing the habit of consulting and visiting cultural heritage mainly with traditional methodologies, making little or no use of the advantages coming from the more and more availability of digitalized resources. A realm of particular interest is “experiential learning” when applied to cultural heritage, where tourists more and more ask to be helped in discovering the richness of sites they explore. In this article, we will present an innovative chatbot-based system, called HeriBot, that supports experiential tourism. Our system has been developed and experimented with a research effort for applying ICT technologies to enhance the knowledge, valorization, and sustainable fruition of the Cultural Heritage related to the Archaeological Urban Park of Naples (PAUN—Parco Archeologico Urbano di Napoli). Our article starts exploiting the ontological approach based on a purpose ontology describing the Park Heritage. Using such an ontology, we designed a chatbot that can identify the specific characteristics and motivations of the tourist, defining language, tone, and visitable scenarios and, through the ontology, allows the visit to be transformed into a personalized educational opportunity. The system has been validated in terms of dialogue effectiveness and training efficiency by a panel of experts, and we present and discuss obtained results. Frontiers Media S.A. 2022-04-25 /pmc/articles/PMC9083409/ /pubmed/35547826 http://dx.doi.org/10.3389/frai.2022.808281 Text en Copyright © 2022 Casillo, De Santo, Mosca and Santaniello. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Artificial Intelligence
Casillo, Mario
De Santo, Massimo
Mosca, Rosalba
Santaniello, Domenico
An Ontology-Based Chatbot to Enhance Experiential Learning in a Cultural Heritage Scenario
title An Ontology-Based Chatbot to Enhance Experiential Learning in a Cultural Heritage Scenario
title_full An Ontology-Based Chatbot to Enhance Experiential Learning in a Cultural Heritage Scenario
title_fullStr An Ontology-Based Chatbot to Enhance Experiential Learning in a Cultural Heritage Scenario
title_full_unstemmed An Ontology-Based Chatbot to Enhance Experiential Learning in a Cultural Heritage Scenario
title_short An Ontology-Based Chatbot to Enhance Experiential Learning in a Cultural Heritage Scenario
title_sort ontology-based chatbot to enhance experiential learning in a cultural heritage scenario
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9083409/
https://www.ncbi.nlm.nih.gov/pubmed/35547826
http://dx.doi.org/10.3389/frai.2022.808281
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