Providing Context-Aware Adaptations Based on a Semantic Model

• Main Authors: Kapitza, Rüdiger, Meier, René, Söldner, Guido
• Other Authors: Friedrich-Alexander Universität Erlangen-Nürnberg = University of Erlangen-Nuremberg (FAU), Trinity College Dublin, Pascal Felber, Romain Rouvoy, TC 6, WG 6.1
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2011
• Subjects: [INFO]Computer Science [cs]; [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]; Iceland
• Online Access: https://inria.hal.science/hal-01583585; https://inria.hal.science/hal-01583585/document; https://inria.hal.science/hal-01583585/file/978-3-642-21387-8_5_Chapter.pdf; https://doi.org/10.1007/978-3-642-21387-8_5

International audience Smartphones and tablet PCs are on the verge of revolutionizing the information society by offering high quality applications and almost permanent connectivity to the Internet in a mobile world. They naturally support new applications that take advantage of context information like location, time and other environmental conditions. However, developing these novel context-aware applications is challenging as it is difficult to a priori anticipate their execution context and the adaptations that might be necessary to use new context information. This issue is reinforced by the semantic gap between the low-level technical realization of adaptation mechanisms and the demand to describe adaptations in abstract and comprehensible business terms.This paper presents programming support for context-aware adaptations based on a semantic model that builds on the AOCI framework. Using such a model, applications and adaptations can be described by means of easy to comprehend business terms. Thereby the model enables the AOCI framework to store and publish both context and domain-specific run-time information and provides a basis for high-level and tailored programming support. This enables to transparently select adaptations based on various criteria and integrate them into applications at run-time. At the level of adaptation mechanisms our approach supports integration for permanent changes using Aspect-Oriented Programming and more importantly for spontaneous and short-time integration of web services by means of interceptors.