Publication:
SPETA: Social pervasive e-tourism advisor

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URI: https://hdl.handle.net/10016/14512
ISSN: 0736-5853
DOI: 10.1016/j.tele.2008.11.008
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SPETA_TI_2009_ps.pdf (243.57 KB)
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2009-08
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Elsevier
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Abstract
Tourism is one of the major sources of income for many countries. Therefore, providing efficient, real-time service for tourists is a crucial competitive asset which needs to be enhanced using major technological advances. The current research has the objective of integrating technological innovation into an information system, in order to build a better user experience for the tourist. The principal strength of the approach is the fusion of context-aware pervasive systems, GIS systems, social networks and semantics. This paper presents the SPETA system, which uses knowledge of the user’s current location, preferences, as well as a history of past locations, in order to provide the type of recommender services that tourists expect from a real tour guide.
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Keywords
Context-aware, Semantic Web, Pervasive computing, Reasoning, Social network, e-Tourism
Bibliographic citation
Telematics and Informatics, (Aug. 2009), 26(3), 306-315.
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