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RESEARCH ARTICLE   Open Access    

Context-aware tourism technologies

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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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  • Cite this article

    Fátima Leal, Benedita Malheiro, Juan C. Burguillo. 2018. Context-aware tourism technologies. The Knowledge Engineering Review 33(1), doi: 10.1017/S0269888918000152
    Fátima Leal, Benedita Malheiro, Juan C. Burguillo. 2018. Context-aware tourism technologies. The Knowledge Engineering Review 33(1), doi: 10.1017/S0269888918000152

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RESEARCH ARTICLE   Open Access    

Context-aware tourism technologies

Abstract: 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.

    • This work has been supported by: (i) the European Regional Development Fund (ERDF) through the Operational Programme for Competitiveness and Internationalisation—COMPETE Programme—within project (FCOMP-01-0202-FEDER-023151) and project (POCI-01-0145-FEDER-006961), and by National Funds through Fundação para a Ciência e a Tecnologia (FCT)—Portuguese Foundation for Science and Technology—as part of project UID/EEA/50014/2013; and (ii) the ERDF together with the Galician Regional Government under agreement for funding the Atlantic Research Center for Information and Communication Technologies (atlanTTic).

    • http://schema.rdfs.org/

    • http://www.jessrules.com/jess/index.shtml

    • http://rdf4j.org/

    • http://grouplens.org/datasets/movielens/

    • http://www2.unwto.org/

    • http://www.mondeca.com/

    • http://qallme.fbk.eu/qallme-tourism4.0.zip

    • http://www.w3.org/2006/time

    • http://www.w3.org/2003/01/geo/wgs84-pos

    • http://e-tourism.deri.at/ont/index.html

    • http://www.oeg-upm.net/index.php/es/ontologies/82-mio-ontologies

    • https://distrinet.cs.kuleuven.be//projects/CoDAMoS/ontology/context.owl

    • http://cobra.umbc.edu/ont/soupa-ont.tar.gz

    • http://www.w3.org/TR/dcontology/

    • http://www.w3.org/TR/owl-time/

    • http://computacion.cs.cinvestav.mx/ rguzman/tesis/src/Ontologias.rar

    • http://www2.unwto.org/

    • © Cambridge University Press, 2018 2018Cambridge University Press
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    Cite this article
    Fátima Leal, Benedita Malheiro, Juan C. Burguillo. 2018. Context-aware tourism technologies. The Knowledge Engineering Review 33(1), doi: 10.1017/S0269888918000152
    Fátima Leal, Benedita Malheiro, Juan C. Burguillo. 2018. Context-aware tourism technologies. The Knowledge Engineering Review 33(1), doi: 10.1017/S0269888918000152
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