01852nas a2200217   4500008004100000245006800041210006500109260000900174300001400183490000600197520115700203653002401360653002201384653002501406653002101431100001501452700001501467700001601482700001901498856011701517       2009                        eng d00aA generic context model enhanced with self-configuring features0 ageneric context model enhanced with selfconfiguring features  c2009  a159 - 1650 v73 aThis paper addresses two fundamental research problems in the domain of context aware autonomic systems: the development of a generic context model that can be used to represent general purpose contexts in a system interpretable way and the autonomic context model management. The proposed context model uses two equivalent and synchronized ways of representing the context: a set based representation and an ontology based representation. The set based representation is used to evaluate the conditions under which the self-* processes should be executed in order to enforce the autonomic properties. The ontology representation is used by context aware applications for reasoning and learning purposes. The increasing complexity of execution environments of the context aware systems and the difficulties of their management have headed us towards the necessity of defining and integrating the self-configuring autonomic paradigm in the context model management process. The self-configuring property is enforced by monitoring the real world context in order to detect context variations or conditions for which the context artifacts must be updated.10aAutonomic computing10aContext awareness10aPervasive middleware10aSelf-configuring1 aCioara, T.1 aAnghel, L.1 aSalomie, L.1 aDinsoreanu, M.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-73249115300&partnerID=40&md5=f9d617fff380ea06eb2e277b2d81a580