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Tutorial :
Scalable Integration and Processing of Linked Data |
Tutorial id |
tr33 |
Tutorial name |
Scalable Integration and Processing of Linked Data |
Presenters |
• Andreas Harth |
Institute AIFB, Karlsruhe
Institute of Technology
76128 Karlsruhe, Germany
harth@kit.edu,
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• Aidan Hogan |
Digital Enterprise Research
Institute (DERI), National
University of Ireland, Galway
Galway, Ireland
aidan.hogan@deri.org,
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• Spyros Kotoulas |
Dept. of Computer Science,
Vrije Universiteit Amsterdam
1081 HV, Amsterdam, The
Netherlands
kot@few.vu.nl,
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• Jacopo Urbani |
Dept. of Computer Science,
Vrije Universiteit Amsterdam
1081 HV, Amsterdam, The
Netherlands
jacopo@cs.vu.nl |
Abstract
The goal of this tutorial is to introduce, motivate and detail
techniques for integrating heterogeneous structured data
from across the Web. Inspired by the growth in Linked Data
publishing, our tutorial aims at educating Web researchers
and practitioners about this new publishing paradigm. The
tutorial will show how Linked Data enables uniform access,
parsing and interpretation of data, and how this novel wealth
of structured data can potentially be exploited for creating
new applications or enhancing existing ones.
As such, the tutorial will focus on Linked Data publishing
and related Semantic Web technologies, introducing scalable
techniques for crawling, indexing and automatically integrating
structured heterogeneous Web data through reasoning. |
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