Hybrid context modeling: A location-based scheme using ontologies

Roussaki, I; Strimpakou, M; Kalatzis, N; Anagnostou, M; Pils, C

dc.contributor.author	Roussaki, I	en
dc.contributor.author	Strimpakou, M	en
dc.contributor.author	Kalatzis, N	en
dc.contributor.author	Anagnostou, M	en
dc.contributor.author	Pils, C	en
dc.date.accessioned	2014-03-01T02:50:15Z
dc.date.available	2014-03-01T02:50:15Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35000
dc.subject	Context Aware	en
dc.subject	Context Information	en
dc.subject	Context Model	en
dc.subject	context-aware systems	en
dc.subject	Human Machine Interaction	en
dc.subject	Large Scale	en
dc.subject	Pervasive Computing	en
dc.subject	User Requirements	en
dc.title	Hybrid context modeling: A location-based scheme using ontologies	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/PERCOMW.2006.65	en
heal.identifier.secondary	http://dx.doi.org/10.1109/PERCOMW.2006.65	en
heal.publicationDate	2006	en
heal.abstract	Context awareness is an inherent feature of pervasive computing. It enhances the proactiveness of the system thus requiring less user attention and fewer human-machine interactions, it supports intelligent personalization features, and it can assist the system to address the user requirements considering the current conditions. Nevertheless, in such environments, various types of context information are involved and need to be	en
heal.journalName	IEEE International Conference on Pervasive Computing and Communications	en
dc.identifier.doi	10.1109/PERCOMW.2006.65	en