Abstract -This paper presents a light inference system for context management, ready to perform reasoning tasks in resource-constrained devices. The inference system is part of a service-oriented mobile software framework which runs on Javaenabled handheld devices. This framework serves to facilitate the creation of context-aware applications, as it decouples sensor's data acquisition and context processing from the application logic itself. The inference architecture is composed by different modules; some of them encapsulate existing tools (ȝJena and Bossam) that have been adapted to the mobile working environment. The (rule-based) reasoning is prepared to use a general ontology. Both applications and the framework's components may configure the query set in order to retrieve the information they need from the inference system. In the paper, a validation example shows how this process is done.
Iglesias et al. REF presented a semantic reasoning infrastructure for mobile devices, aimed at simplifying the creation of context-aware applications.
A Light Reasoning Infrastructure to Enable Context-aware Mobile Applications
2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing
2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing
Computer Science