You are viewing a javascript disabled version of the site. Please enable Javascript for this site to function properly.
Go to headerGo to navigationGo to searchGo to contentsGo to footer
In content section. Select this link to jump to navigation

Context-aware modelling of continuous location-dependent queries in indoor environments

Issue title: Context Awareness

Article type: Research Article

Authors: Afyouni, Imad; | Ilarri, Sergio | Ray, Cyril | Claramunt, Christophe

Affiliations: Naval Academy Research Institute, 29240 Brest Cedex 9, France. E-mail: {imad.afyouni,cyril.ray,christophe.claramunt}@ecole-navale.fr | Department of Computer Science and Systems Engineering, University of Zaragoza, Maria de Luna 1, 50018 Zaragoza, Spain. E-mail: [email protected]

Note: [] Corresponding author.

Keywords: Context-aware services, location-dependent queries, indoor spatial data model, query language, continuous processing architecture

DOI: 10.3233/AIS-120186

Journal: Journal of Ambient Intelligence and Smart Environments, vol. 5, no. 1, pp. 65-88, 2013

Published: 2013
Get PDF

Abstract

Emerging and continuing advances in ambient systems and localization techniques have brought novel opportunities to develop context-aware navigation services in indoor environments. Diverse kinds of services delivered to the users can be provided by enabling real-time integration of contextual dimensions. In particular, continuous location-dependent queries can be considered as key elements for the development of different categories of context-aware services. However, most work on location-dependent query processing has been mainly oriented towards outdoor environments. This paper introduces a generic architecture for continuous location-dependent and navigation-related queries in indoor environments. A multi-level model of space is designed by taking into account contextual information and the hierarchical layout of an indoor environment. The semantics of a query language for continuous location-dependent queries are introduced, along with some motivating sample queries.

Show more