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Context-aware tourism technologies

Published online by Cambridge University Press:  04 September 2018

Fátima Leal ,
Benedita Malheiro  and
Juan C. Burguillo Open the ORCID record for Juan C. Burguillo [Opens in a new window]
Fátima Leal
Affiliation:
Department of Telematic Engineering, School of Telecommunications Engineering (EET), University of Vigo, Campus Universitario Lagoas, Marcosende, 36200 Vigo, Spain e-mail: fatimaleal2@gmail.com, J.C.Burguillo@uvigo.es INESC TEC, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal e-mail: mbm@isep.ipp.pt
Benedita Malheiro
Affiliation:
Department of Electrical Engineering, School of Engineering (ISEP), Porto Polytechnic, Rua Dr. António Bernardino de Almeida, 431, 4249-015 Porto, Portugal INESC TEC, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal e-mail: mbm@isep.ipp.pt
Juan C. Burguillo
Affiliation:
Department of Telematic Engineering, School of Telecommunications Engineering (EET), University of Vigo, Campus Universitario Lagoas, Marcosende, 36200 Vigo, Spain e-mail: fatimaleal2@gmail.com, J.C.Burguillo@uvigo.es
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Abstract

Nowadays travellers can benefit from the computing capabilities, collection of on board sensors and ubiquitous Internet access provided by mobile devices. These are the three pillars of any tourist support system since they provide the power, means and data to establish the local user context, to access remote services and to provide value-added user-centred context-aware applications. However, making sense of the user context data is not straightforward, as it requires dedicated knowledge acquisition and knowledge representation solutions. Besides, the range and diversity of available data sources is huge, requiring appropriate knowledge processing techniques to provide addequated tourism services. This article presents an updated review, and a comparison of recent context-aware tourism applications (CATA), including supporting technologies; and considering four possible dimensions: knowledge acquisition, knowledge representation, knowledge processing and knowledge-based services. We propose and apply a CATA analysis framework, contemplating these four dimensions to the applications found in the literature. This survey constitutes, not only, a state of the art review on tourism mobile applications, but, also, anticipates the latest development trends in tourism-related applications.

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Type
Survey Article
Information
The Knowledge Engineering Review , Volume 33 , 2018 , e13
Copyright
© Cambridge University Press, 2018 

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