Although a number of initiatives provide personalized context-aware guidance for niche use cases, a standard framework for context awareness remains lacking. This article explains how semantic technology has been exploited to generate a centralized repository of personal activity context. This data drives advanced features such as personal situation recognition and customizable rules for the context-sensitive management of personal devices and data sharing. As a proof of concept, we demonstrate how an innovative context-aware system has successfully adopted such an infrastructure.
CITATION STYLE
Scerri, S., Debattista, J., Attard, J., & Rivera, I. (2015). A semantic infrastructure for personalizable context-aware environments. In AI Magazine (Vol. 36, pp. 73–84). AI Access Foundation. https://doi.org/10.1609/aimag.v36i2.2586
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