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Designing Ontology-Driven Recommender Systems for Tourism

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Advances onto the Internet of Things

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 260))

Abstract

Nowadays, Internet users may experience some difficulty in finding the information they need from the huge multitude of existing web pages. A possible solution to this problem might lie in delegating some of the search tasks to machines, or in other words, in building a Semantic Web in which information could be processed automatically by intelligent software agents. Given the constantly increasing growth of the tourism industry, it might be particularly helpful to develop virtual assistants capable of planning trips on the basis of a user’s interests. If so, adopting Semantic Web technologies would make it possible to provide a more customized service to each user and thus satisfy their requests better. Hypothesizing such a scenario, this chapter describes an adaptive recommender system which adopts a semantic approach to assist the user both in the travel planning phase and, on-site, during the trip. Finally, the software system provides a module that infers the user’s interests and preferences using data mining techniques aimed at improving the quality of the suggestions made by the system.

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Acknowledgments

This work has been partially supported by the PO FESR 2007/2013 grant G63F12000240004 funding the OnSicily project.

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Authors and Affiliations

  1. DICGIM, University of Palermo, Viale delle Scienze ed. 6, 90128, Palermo, Italy

    Pierluca Ferraro & Giuseppe Lo Re

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  1. Pierluca Ferraro
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  2. Giuseppe Lo Re
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Correspondence to Giuseppe Lo Re .

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Editors and Affiliations

  1. Dipartimento di Ingegneria Chimica, Gestionale, Informatica, Meccanica, Università di Palermo, Palermo, Italy

    Salvatore Gaglio

  2. Dipartimento di Ingegneria Chimica, Gestionale, Informatica, Meccanica, Università di Palermo, Palermo, Italy

    Giuseppe Lo Re

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Ferraro, P., Lo Re, G. (2014). Designing Ontology-Driven Recommender Systems for Tourism. In: Gaglio, S., Lo Re, G. (eds) Advances onto the Internet of Things. Advances in Intelligent Systems and Computing, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-319-03992-3_24

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  • DOI: https://doi.org/10.1007/978-3-319-03992-3_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03991-6

  • Online ISBN: 978-3-319-03992-3

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