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Contextualized Peer to Peer Information Management in Wearable and Environmental Computing
Overview
In Peer-to-Peer information
systems every peer can act as a provider and creator of information.
Communication between peers is enabled by semantic mappings between the
models of data stored at individual peers. High speed mobile
communication is required if peers reside on mobile devices that
continually exchange stream data.
This sub project of the DFG research cluster
UMIC within the German Excellence
Initiative, investigates modeling of context for peer to peer
information exchange in the area of wearable health-net applications.
Health-net applications monitor vital functions of patients, such as blood pressure
or pulse, as well as imperilled staff by means of various
mobile sensors. The generated data streams must be integrated and mined for anomalies in
order to enable fast reactions on dangerous situations. In this context,
the Informatik 5 addresses the modeling of individual data
streams and their integration to a multidimensional data stream that can
be mined for anomalies.
The challenges addressed by Informatik 5 are
 | Semantic Modeling of the individual data
streams that are provided by sensors |
| Ad hoc integration of sensor models to an
integrated model of a multidimensional stream |
| Formalization of mappings from individual
streams to the model of the integrated stream |
| Fusion of data provided by individual sensors
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The research of Informatik 5 in this sub-project is
based on the work of the Model
Management group, which develops formal methods for the management
of data models.
Cooperation Partners
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