Automatic description of context-altering services through observational learning
2012 (English)In: Pervasive Computing, Springer Berlin/Heidelberg, 2012, Vol. 7319 LNCS, 461-477 p.Conference paper (Refereed)
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
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
IdentifiersURN: urn:nbn:se:kth:diva-101576DOI: 10.1007/978-3-642-31205-2_28ScopusID: 2-s2.0-84864199909ISBN: 978-364231204-5OAI: oai:DiVA.org:kth-101576DiVA: diva2:549404
10th International Conference on Pervasive Computing, Pervasive 2012; Newcastle; 18 June 2012 through 22 June 2012
QC 201209042012-09-042012-08-302014-01-27Bibliographically approved