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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. |
Abstract
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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