Several approaches to context awareness have been proposed ranging from unsupervised learning to ontologies. Independent of the type of context awareness used a consistent approach to naming contexts is required. A novel paradigm for labeling contexts is described based on close range wireless connections between devices and a very simple, unsupervised learning algorithm. It is shown by simulation analysis that it is possible to achieve a labeling of different contexts which allows context related information to be communicated in a consistent manner between devices. As the learning is unsupervised no user input is required for it to work. Furthermore this approach requires no extra infrastructure or resources to manage the names assigned to the contexts. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Flanagan, J. A. (2006). An unsupervised learning paradigm for peer-to-peer labeling and naming of locations and contexts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3987 LNCS, pp. 204–221). Springer Verlag. https://doi.org/10.1007/11752967_14
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