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Automatic description of context-altering services through observational learning
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
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2012 (English)In: Pervasive Computing, Springer Berlin/Heidelberg, 2012, Vol. 7319 LNCS, 461-477 p.Conference paper (Refereed)
Abstract [en]

Understanding the effect of pervasive services on user context is critical to many context-aware applications. Detailed descriptions of context-altering services are necessary, and manually adapting them to the local environment is a tedious and error-prone process. We present a method for automatically providing service descriptions by observing and learning from the behavior of a service with respect to its environment. By applying machine learning techniques on the observed behavior, our algorithms produce high quality localized service descriptions. In a series of experiments we show that our approach, which can be easily plugged into existing architectures, facilitates context-awareness without the need for manually added service descriptions.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2012. Vol. 7319 LNCS, 461-477 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 7319
Keyword [en]
Context aware applications, Context-awareness, Error-prone process, High quality, Local environments, Machine learning techniques, Observational learning, Pervasive service, Service description, User context, Artificial intelligence, Ubiquitous computing
National Category
Computer Systems
URN: urn:nbn:se:kth:diva-101576DOI: 10.1007/978-3-642-31205-2_28ScopusID: 2-s2.0-84864199909ISBN: 978-364231204-5OAI: diva2:549404
10th International Conference on Pervasive Computing, Pervasive 2012; Newcastle; 18 June 2012 through 22 June 2012

QC 20120904

Available from: 2012-09-04 Created: 2012-08-30 Last updated: 2014-01-27Bibliographically approved

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Rasch, KatharinaAyani, Rassul
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