Challeng es for context manag ement s ystems imposed by context inference

Frank, K; Kalatzis, N; Roussaki, I; Liampotis, N

dc.contributor.author	Frank, K	en
dc.contributor.author	Kalatzis, N	en
dc.contributor.author	Roussaki, I	en
dc.contributor.author	Liampotis, N	en
dc.date.accessioned	2014-03-01T02:46:01Z
dc.date.available	2014-03-01T02:46:01Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32506
dc.subject	Context inference	en
dc.subject	Context management	en
dc.subject	Smart spaces	en
dc.subject.other	Context inference	en
dc.subject.other	Context management	en
dc.subject.other	Context-aware systems	en
dc.subject.other	Context-management systems	en
dc.subject.other	Design decisions	en
dc.subject.other	Future framework	en
dc.subject.other	High flexibility	en
dc.subject.other	Human expert knowledge	en
dc.subject.other	Inference rules	en
dc.subject.other	Inference systems	en
dc.subject.other	Resource costs	en
dc.subject.other	Smart space	en
dc.subject.other	Smart spaces	en
dc.subject.other	Bayesian networks	en
dc.subject.other	Inference engines	en
dc.subject.other	Management	en
dc.subject.other	Ubiquitous computing	en
dc.title	Challeng es for context manag ement s ystems imposed by context inference	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1145/1555321.1555329	en
heal.identifier.secondary	http://dx.doi.org/10.1145/1555321.1555329	en
heal.publicationDate	2009	en
heal.abstract	This work gives an overview over the challenges for context management systems in Ubiquitous Computing frameworks or Personal Smart Spaces. Focused on the integration of context inference in today's context management systems (CMSs) we address important design decisions for future frameworks. The inference system we have in mind is probabilistic and relies on the concept of Bayeslets, special inference rules extending Bayesian networks. We show that for inference rule creation, storage, inference scheduling and update frequency the best solutions are hybrid, allowing for high flexibility and performance while reducing resource costs. We also see that human expert knowledge cannot be substituted completely in an efficient context-aware system. © 2009 ACM.	en
heal.journalName	Proceedings of the 6th International Workshop on Managing Ubiquitous Communications and Services, MUCS'09	en
dc.identifier.doi	10.1145/1555321.1555329	en
dc.identifier.spage	27	en
dc.identifier.epage	33	en