We present IYOUIT, a prototype service to pioneer a context-aware mobile digital lifestyle and its reflection on the Web. The application is based on a distributed infrastructure that incorporates Semantic Web technologies in several places to derive qualitative interpretations of a user's digital traces in the real world. Networked components map quantitative sensor data to qualitative abstractions represented in formal ontologies. Subsequent classification processes combine these with formalized domain knowledge to derive meaningful interpretations and to recognize exceptional events in context histories. The application is made available on Nokia Series-60 phones and designed to seamlessly run 24/7. © 2008 Springer Berlin Heidelberg.
CITATION STYLE
Boehm, S., Koolwaaij, J., Luther, M., Souville, B., Wagner, M., & Wibbels, M. (2008). Introducing IYOUIT. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5318 LNCS, pp. 804–817). Springer Verlag. https://doi.org/10.1007/978-3-540-88564-1_52
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