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. © 2011 IFIP International Federation for Information Processing.
CITATION STYLE
Söldner, G., Kapitza, R., & Meier, R. (2011). Providing context-aware adaptations based on a semantic model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6723 LNCS, pp. 57–70). https://doi.org/10.1007/978-3-642-21387-8_5
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