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

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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 http://hdl.handle.net/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


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