A Context Quality Model for Ubiquitous Applications

Abstract

Quality of Context (QoC) is critical in context reasoning, context refining, security policy configuring, etc. Many researches have been presented to model context and its quality by quantifying QoC-parameters. However, these quality models emphasis on the information-inherent QoC, while the influence of context-aware applications and environment situation on QoC is not well considered. In this paper, we will propose a novel context quality model based on OWL-DL, which is related with situation and can be specified by context-aware applications. Moreover, a context processing infrastructure is introduced, since QoC model is relevant to context processing. Furthermore, a context information service prototype is implemented to support application and situation related QoC rectification. Finally, we demonstrate the efficacy of this approach through a storeroom scenario and a case study of context file system application with the help of a Pioneer III -AT mobile robot and a FUSE-based Context file system.