DataTourism : Designing an Architecture to Process Tourism Data

Fayrouz Soualah-Alila (1) , Mickaël Coustaty (1) , Nicolas Rempulski (1) , Antoine Doucet (1)

1 L3I - Laboratoire Informatique, Image et Interaction - EA 2118

With the rapid diffusion of new technologies in tourism , professionals face new challenges to use efficiently the vast amount of data created by tourists. Nowadays , these information come from multiple and varied sources , as cellular or social networks , touristic location attendance or dematerialized satisfaction surveys , and in huge amount. They are an important resource for the tourism industry , but their heterogeneity makes it difficult to aggregate and analyse them. The key issue for tourism actors , professionals or politics , is to manage and operate tourism information about their territory effectively. The purpose of this paper is to describe synthetically how tourism information are managed under the Tourinflux project. We describe in this paper an architecture named DataTourism for tourism data management which solve multiple technical locks encountered when working with tourism data : heterogeneity , quality , interoperability , reusability and standardisation .

Mots clés: DataTourism; Tourinflux; TIFSem; TimeML; SentiML

Domaines: Informatique [cs]

Fayrouz Soualah-Alila, Mickaël Coustaty, Nicolas Rempulski, Antoine Doucet. DataTourism : Designing an Architecture to Process Tourism Data. IFITT and ENTER 2016 Conferences, Feb 2016, Bilbao, Spain. pp.751-763. ⟨hal-01238379⟩