Expectations towards information access are rising as technology is increasingly pervasive in public spaces. Information for tourists such as on sights, transportation options or lodging is instantly available on mobile phones or public displays. However, it is still mostly up to the users to query different sources for information, find information suitable to their situation and to combine that information afterwards in order to reach their goal. In this paper, we present an approach that provides integrated and situational information on different tourism-related topics. We introduce our adaptation concept based on semantic descriptions of user context and integrated information sources and we describe the prototype implementing our concept. We evaluate our approach in a user study and discuss starting points for future work. © 2014 Springer International Publishing.
CITATION STYLE
Keller, C., Pöhland, R., Brunk, S., & Schlegel, T. (2014). An adaptive semantic mobile application for individual touristic exploration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8512 LNCS, pp. 434–443). Springer Verlag. https://doi.org/10.1007/978-3-319-07227-2_41
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