Assisting the user is the main goal of ubiquitous environments supported by dynamic ensembles: local agglomerations of smart appliances, whose composition is prone to frequent, unforeseeable, and substantial changes. Globally coherent behavior with respect to the users need can emerge from interaction of individual appliances. Therefore, its necessary to develop intelligent efficient indexing strategies for knowledge addressing and exchange in dynamic ensembles. Especially in scenarios like MuSAMA [13], a project dealing with Smart-Rooms, data access, query evaluation on mobile devices and retrieval techniques face problems such as resource constraints, power limitations and time delays in information exchange. At this point a solution to manage such problems needs to be devised. This paper introduces our work to find such a solution. Therefore, a framework BlueS is presented, which supports service discovery and data exchange in spontaneous linked environments, e.g.Bluetooth networks.
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