Abstract
Modeling context is a key factor for enabling context-aware systems to be responsive to users' needs and consequently for making computing " invisible " . A context model, which is a product of context modeling, provides a systematic way of identifying and representing knowledge about users' environment in context-aware architecture. Through this knowledge, and its sensing and reasoning capabilities, a context-aware architecture is able to determine what is going on in the environment and share this knowledge with context-aware systems. This article presents a research work for modeling context. In particular, the article explains development of a Knowledge-intensive Context Model (KiCM). KiCM extends theory-based context models by including knowledge of users' computers and their computer-related activities.
Cite
CITATION STYLE
Lupiana, D. (2017). Context Modeling for Context-Aware Systems. International Journal of Intelligent Computing Research, 8(1), 807–816. https://doi.org/10.20533/ijicr.2042.4655.2017.0099
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