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Tutorial :
The Web of Things
Tutorial id tr37
Tutorial name The Web of Things
Presenters • Carolina Fortuna's research interests are interdisciplinary focusing on semantic technologies with applications in modeling of communication and sensor systems, and on combining semantic technologies, statistical learning and networks for analyzing large datasets. She works at the Department of Communication Systems at the Jozef Stefan Institute, Ljubljana, Slovenia since 2006. She is one of the founders of the SensorLab group which consists of approximately 10 PhD students. She has actively participated in several FP6 and FP7 EU funded projects and gained industrial experience by interning with Bloomberg LP and Siemens PSE.
• Marko Grobelnik is an expert in the areas of analysis of large amounts of complex data with the purpose to extract useful knowledge. In particular, the areas of expertise comprise: Machine Learning, Data/Text Mining, Link Analysis, Semantic Technologies, and Data Visualization. Marko works at Jozef Stefan Institute, the national research institute for natural sciences in Slovenia where he manages research group of approx. 30 researchers. He collaborates with leading European academic institutions, with European Commission and with corporations such as Bloomberg, British Telecom, Microsoft Research and New York Times. Marko is also co-author of several books, cofounder of five start-ups and is/was involved into over 25 EU funded projects.


The Web, similar to other successful man made systems is continuously evolving. With the miniaturization and increased performance of computing devices which are also being embedded in common physical objects, it is natural that the Web evolved to also include these – therefore the Web of Things. This tutorial provides an overview of the system vertical structure by identifying the relevant components, illustrating their functionality and showing existing tools and systems. The aim is to show how small devices can be connected to the Web at various levels of abstraction and transform them into "first-class" Web residents.


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