Artikel in Tagungsband INPROC-2010-46

Bibliograph.
Daten
Föll, Stefan; Herrmann, Klaus; Hiesinger, Christian: Flow-Based Context Prediction.
In: Proceedings of the 7th International Conference on Pervasive Services (ICPS 2010), Berlin, Germany, July 13-15, 2010.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 1-1, englisch.
ACM, Juli 2010.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.G.3 (Probability and Statistics)
I.2.6 (Artificial Intelligence Learning)
KeywordsContext prediction, Markov model, workflows, context awareness, probabilistic user behaviour
Kurzfassung

Context prediction has been recognized as an enabler for proactive pervasive services that anticipate future situations already ahead of time. Traditional context predictors are limited by their agnostic view on the targeted application domain when analysing context histories of past user behaviour. Awareness about the processes in which an entity is involved can provide rich information to foresee future context changes more accurately. We present an approach for context prediction in pervasive environments that are characterized by context-aware workflows. In order to benefit from the explicit knowledge about human behaviour in these environments, we devise a context predictor that learns the relationship of context changes with the flow of activities performed by humans. This relationship is encoded as a probabilistic state transition system that can be explored to determine the most likely paths of future context occurrences. Our evaluation shows that our enhanced predictor is able to extract patterns from context histories that are inaccessible to history-only predictors and significantly improves the prediction accuracy.

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Copyright© ACM, 2010. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 7th International Conference on Pervasive Services, Berlin, Germany, July 2010.
Kontaktstefan.foell@ipvs.uni-stuttgart.de
Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme
Projekt(e)ALLOW
Eingabedatum1. Juni 2010
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