Abstract
Tourists often face the problem of planning itineraries that cover the most interesting attractions and best match their preferences and constraints. We have proposed a configuration-theory-based tool, called CART, that takes as input data from touristic APIs and produces as output personalized touristic itineraries. In this paper, we extend our proposal using semantic technologies to enable better content management, knowledge discovery and semantic search. Through semantic annotations, we perform data integration of heterogeneous and evolving touristic APIs. This makes content more accessible and enhances information retrieval by providing semantic querying capabilities to the CART system.
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Boulakbech, M., Cheniki, N., Messai, N., Sam, Y., Devogele, T. (2018). Linked Data Graphs for Semantic Data Integration in the CART System. In: Pautasso, C., Sánchez-Figueroa, F., Systä, K., Murillo Rodríguez, J. (eds) Current Trends in Web Engineering. ICWE 2018. Lecture Notes in Computer Science(), vol 11153. Springer, Cham. https://doi.org/10.1007/978-3-030-03056-8_21
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DOI: https://doi.org/10.1007/978-3-030-03056-8_21
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