Abstract. With the emergence of mobile devices (Smart Phone, PDA, UMPC, game consoles, etc.), learning is changing from electronic learning (e-Learning) to mobile learning (m-learning). In fact, due to the mobility feature, it seems that the m-learning have to be adapted with the change within the context. Several researches addressed this issue and implemented a mobile learning environment to prove its usefulness and feasibility in various domains. In this article, we conduct a comparative study between a list of mobile learning architectures and methods that are presented in the literature. The performance of these architectures is evaluated based on several criteria, such as the adaptation management, which is an important parameter for the management and customization of the learning resources for the learners, as well as the environment, which is a core part of mobile learning systems.
Tourism industry is an extremely information-intensive, complex and dynamic activity. It can benefit from semantic Web technologies, due to the significant heterogeneity of information sources and the high volume of on-line data. The management of semantically diverse annotated tourism data is facilitated by ontologies that provide methods and standards, which allow flexibility and more intelligent access to on-line data. This paper provides a description of some of the early results of the Tourinflux project which aims to apply semantic Web technologies to support tourist actors in effectively finding and publishing information on the Web.
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.
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