TransportML: a middleware for Location-Based Services collaboration

Autor: Nathanael Cottin, M. Wack, Christophe Dumez, Ana Roxin, Jaafar Gaber
Přispěvatelé: Laboratoire Systèmes et Transports (SET), Université de Technologie de Belfort-Montbeliard (UTBM)-Institut de Recherche sur les Transports, l'Energie et la Société - IRTES, GSEM, Université de Technologie de Belfort-Montbeliard (UTBM)-Institut de Recherche sur les Transports, l'Energie et la Société - IRTES-Université de Technologie de Belfort-Montbeliard (UTBM)-Institut de Recherche sur les Transports, l'Energie et la Société - IRTES, IEEE, European Project: 217643,EC:FP7:TPT,FP7-SST-2007-RTD-1,ASSET-ROAD(2008)
Jazyk: angličtina
Rok vydání: 2009
Předmět:
Zdroj: 3rd International Conference on New Technologies, Mobility and Security (NTMS), 2009
3rd International Conference on New Technologies, Mobility and Security (NTMS)
3rd International Conference on New Technologies, Mobility and Security (NTMS), Dec 2009, Le Caire, Egypt. pp.1-6, ISBN 978-1-4244-4765-7, ⟨10.1109/NTMS.2009.5384734⟩
NTMS
DOI: 10.1109/NTMS.2009.5384734⟩
Popis: International audience; Location-Based Services (LBS) are information and entertainment services, accessible with mobile devices and making use of the position of the mobile device. Although LBS are now widely used, better results could be obtained by merging information issued by several services. Inter-LBS collaboration is still uncommon although a lot of work is done on service orchestration languages such as WS-BPEL 2.0. One of the obstacles is that LBS are created and updated on the fly. This dynamism makes manual composition scenario update difficult. To tackle this problem, we introduce TransportML, a middleware for inter-LBS collaboration, in an automatic fashion. TransportML relies on technologies such as Web services and semantic Web. In this platform, services are discovered and collaboration scenarios are elaborated on the fly. As a consequence, the platform is auto-adaptive and composition scenario maintenance is no longer required.
Databáze: OpenAIRE