PLATIS: a personalized location-aware tourist information system

Authors:
Kostas Makedos;Nektaria Tryfona
Affiliations:
Hellenic Open University, Patras, Greece;George Mason University, VA
Venue:
Proceedings of the Second ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
Year:
2013

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Abstract

Tourist Information Systems (TIS) provide recommendations and help users avoid information overload while planning their trip. In an effort to provide better results, most systems categorize users indiscreetly into pre-determined groups without considering users' complex preferences, resulting to suggestions that miss uniqueness and adaptation to users needs. We present a Tourist Information System that matches users' preferences to the places they wish to visit in a more personalized and integrated way, combining modern aspects and widely adopted technologies. More specifically, the proposed Personalized, Location-Aware Tourist Information System (PLATIS) collects personal data from users' social network profiles and destination data from several online sources and conceptualizes this information into corresponding ontologies with the help of Semantic Web. A Bayesian Network is used to match the ontologies and calculate the most probable recommendations. The final results are gathered and presented dynamically to an interactive map.