DataTourism: Designing an Architecture to Process Tourism Data

Abstract

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.

Dwipa Ontology III: Implementation of Ontology Method Enrichment on Tourism Domain

“…The ontology enrichment technique used is semantic annotation and mining technique using machine learning. However, this study has not yet discussed the issue of ontology evaluation [16].…”

Open data for tourism: the case of Tourpedia

“…Scarinci and Myers (2014) describe a semantic Web framework, which aggregates some practice standards for the creation of lodging properties. Soualah-Alila et al (2016) illustrate DataTourism, a tool for the management of heterogeneous data related to tourism and derived from different sources.…”