Context is the challenge for the coming years in Artificial Intelligence. I
n the companion paper [8], we present the main results of discussions at tw
o workshops and at the first conference focusing on the notion of context.
In this paper, we present a view of how context is considered in knowledge
acquisition, machine learning, communication, and databases and ontologies.
We describe the way in which context is moldeled and represented in the lo
gic formalism and a rule-based formalism. We present briefly after some of
the other approaches, and sum up the different points that may be of intere
st for modeling context effectively.