Abstract
Much recent research has focused on using situations rather than individual
pieces of context as a means to trigger adaptive system behaviour.
While current research on situations emphasises their representation
and composition, they do not provide an approach on how to organise
and identify their occurrences efficiently. This paper describes
how lattice theory can be utilised to organise situations, which
reflects the internal structure of situations such as generalisation
and dependence. We claim that situation lattices will prove beneficial
in identifying situations, and maintaining the consistency and integrity
of situations. They will also help in resolving the uncertainty issues
inherent in context and situations by working with Bayesian Networks.
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