Nowadays, users can count on a large amount of mobility services offering disparate functionalities and providing all needed information. Yet, from a user perspective, properly exploiting the available mobility services to organize journeys meeting personal expectations, is becoming a complex task. Indeed, discover and select the appropriate services in an open and constantly expanding domain, is a challenging and time-consuming task. We claim that a uniform and easy way for exploiting these services while moving around, getting accurate and personalized information is still missing. In this paper we propose a platform for the definition of value-added mobility services by (i)enhancing interoperability among the existing services, (ii)supporting their execution via run-time adaptation, (iii)through the definition of multi-channel front-end applications. On top of the platform, we have implemented and evaluated a world-wide travel assistant.
CITATION STYLE
Bucchiarone, A., De Sanctis, M., & Marconi, A. (2017). ATLAS: A world-wide travel assistant exploiting service-based adaptive technologies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10601 LNCS, pp. 561–570). Springer Verlag. https://doi.org/10.1007/978-3-319-69035-3_41
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