Context-awareness is becoming more and more important in making the experience of the individual in each one of her/his daily activities more personalized and focused. It is not only a matter of providing a the individual with the information, the things s/he likes more, but also the pursuit of discarding the huge amount of "noise" s/he is not interested in.
When considering data, current technology provides us with a lot of information, more than we are usually able to manage or effectively use. Furthermore, this data may come from different independent sources, not centrally organized to answer our requests.

Thus, our research aims at designing a methodology and framework for supporting data, system and application architects at design time to define a context-aware use and management of information, to provide users with all and only data they are interested in, according to their current context and preferences.