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2017 | OriginalPaper | Buchkapitel

A Mobile Context-Aware Information System to Support Tourism Events

verfasst von : Fabio Clarizia, Saverio Lemma, Marco Lombardi, Francesco Pascale

Erschienen in: Green, Pervasive, and Cloud Computing

Verlag: Springer International Publishing

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Abstract

The experience of a touristic visit is a learning process very fascinating and interesting: the emotions can change according to the interests of the individuals, as well as of the physical, personal and social-cultural context. Applications for a mobile environment should take advantage of contextual information, such as position, to offer greater services to the user.

In this paper, it is introduced a Context Aware Approach for the tourism. This approach is based on a graphical formalism for the context representation, the Context Dimension Tree, which plays a fundamental role in tailoring the target application data according to the user information needs.

In particular, the proposed system is made available to the user as an adaptive mobile application, which allows a high degree of customization in recommending services and resources according to his/her current position and global profile. For example, the system can guide the tourist in the discovery of a town proposing him/her events mainly interesting for the user.

A case study applied to a Christmas event in Salerno, an Italian town, has been analyzed considering various users and an experimental campaign has been conducted, obtaining interesting results.

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Vorheriges Kapitel Transferring Remote Ontologies to the Edge of Internet of Things Systems

Nächstes Kapitel An Ontological Digital Storytelling to Enrich Tourist Destinations and Attractions with a Mobile Tailored Story

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Titel: A Mobile Context-Aware Information System to Support Tourism Events
verfasst von: Fabio Clarizia
Saverio Lemma
Marco Lombardi
Francesco Pascale
Verlag: Springer International Publishing
Buch: Green, Pervasive, and Cloud Computing
Print ISBN: 978-3-319-57185-0

Electronic ISBN: 978-3-319-57186-7

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-57186-7_40

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