2009
DOI: 10.3233/mgs-2009-0116
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A context-sensitive infrastructure for coordinating agents in ubiquitous environments

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Cited by 7 publications
(3 citation statements)
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References 27 publications
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“…Early works consider simple data fusion as aggregation of logically related context data based on simple name transformation (Dey et al, 2001), possibly by adopting a common context specification language (Hong & Landay, 2001). Also, more recent works exploit a similar approach, in which contextual data are represented at a high level with a common structure in order to promote the same management for data coming from diverse sources and to ease the data usage and reasoning (Bortenschlager et al, 2009).…”
Section: Location Fusion Of Heterogeneous Sensorsmentioning
confidence: 99%
“…Early works consider simple data fusion as aggregation of logically related context data based on simple name transformation (Dey et al, 2001), possibly by adopting a common context specification language (Hong & Landay, 2001). Also, more recent works exploit a similar approach, in which contextual data are represented at a high level with a common structure in order to promote the same management for data coming from diverse sources and to ease the data usage and reasoning (Bortenschlager et al, 2009).…”
Section: Location Fusion Of Heterogeneous Sensorsmentioning
confidence: 99%
“…However, in MCL it seems difficult to focus on the coordination when a very complex and dynamic system is considered. UbiCoMo [7] proposes a coordination model that mainly focuses on accessing data in ubiquitous environments. However, this limits too much UbiCoMo expressiveness to fit into this specific paradigm.…”
Section: Related Workmentioning
confidence: 99%
“…To support mobile environment, one of the main improvement is the use of several tuple-spaces instead of a single one shared by all the processes. Then, from mobile computing, researchers have focused on making applications context aware by the use of tuple-spaces [5,7,15]. To go a step further with the mobility, toward autonomous systems, researchers considered more intelligent tuples [21,30].…”
Section: Introductionmentioning
confidence: 99%