Hybridising events and knowledge as a basis for building autonomic
systems
Journal of Trusted and Autonomic Computing, (2006)Abstract
Event-based systems are a popular substrate for distributing information
derived from sensors to be used in driving adaptive behaviour. This
paper argues that using events directly provides a poor model of
context, and that a hybrid approach that uses events to populate
and maintain a distributed knowledge base offers a more stable solution.
The inherent uncertainties in both sensor data and reasoning imply
that traditional knowledge-based system techniques applied to context
be extended to deal with more uncertain reasoning
Description
Lorcan Coyle's Bibliography