  The representation of the personal context is complex and essential to
improve the help machines can give to humans for making sense of the world, and
the help humans can give to machines to improve their efficiency. We aim to
design a novel model representation of the personal context and design a
learning process for better integration with machine learning. We aim to
implement these elements into a modern system architecture focus in real-life
environments. Also, we show how our proposal can improve in specifically
related work papers. Finally, we are moving forward with a better personal
context representation with an improved model, the implementation of the
learning process, and the architectural design of these components.
