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

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          Abstract

          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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            Toward principles for the design of ontologies used for knowledge sharing?

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                Author and article information

                Contributors
                Journal
                Front Artif Intell
                Front Artif Intell
                Front. Artif. Intell.
                Frontiers in Artificial Intelligence
                Frontiers Media S.A.
                2624-8212
                25 April 2022
                2022
                : 5
                : 808281
                Affiliations
                Information Communication Technologies (ICT) Center for Cultural Heritage, Department of Industrial Engineering (DIIN), University of Salerno , Fisciano, Italy
                Author notes

                Edited by: Christos Troussas, University of West Attica, Greece

                Reviewed by: Marco Viviani, University of Milano-Bicocca, Italy; Isabella Gagliardi, National Research Council (CNR), Italy; Giancarlo Sperlì, University of Naples Federico II, Italy; Maria Teresa Artese, National Research Council (CNR), Italy

                *Correspondence: Massimo De Santo desanto@ 123456unisa.it

                This article was submitted to AI for Human Learning and Behavior Change, a section of the journal Frontiers in Artificial Intelligence

                Article
                10.3389/frai.2022.808281
                9083409
                35547826
                76288cd3-0b0c-4b0d-8a84-73d834772a76
                Copyright © 2022 Casillo, De Santo, Mosca and Santaniello.

                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.

                History
                : 03 November 2021
                : 16 March 2022
                Page count
                Figures: 11, Tables: 4, Equations: 0, References: 42, Pages: 18, Words: 8718
                Categories
                Artificial Intelligence
                Original Research

                ontology,chatbots,cultural heritage,experiential learning,knowledge management

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