One of the central ideas of ubiquitous computing research is to create smart real-world artifacts and environments that can spontaneously cooperate in order to enable novel applications that no single device could provide. A critical factor in such applications is the availability of relevant context knowledge, which may be provided by a variety of different sensors, domain models, and applications. Locating, accessing, and preserving such knowledge is not a trivial task, especially in dynamic environments where new knowledge sources and applications may unexpectedly appear while existing ones may vanish. In this paper we present a pragmatic yet powerful approach to manage shared knowledge by introducing a novel concept called RDF:Stores. We will present the general properties of RDF:Stores and describe how they can be implemented using off-the-shelf software components. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Schneider, M. (2006). RDF: Stores - A lightweight approach on managing shared knowledge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4159 LNCS, pp. 229–239). Springer Verlag. https://doi.org/10.1007/11833529_24
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