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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,
• Aidan Hogan Digital Enterprise Research
Institute (DERI), National
University of Ireland, Galway
Galway, Ireland
aidan.hogan@deri.org,
• Spyros Kotoulas Dept. of Computer Science,
Vrije Universiteit Amsterdam
1081 HV, Amsterdam, The
Netherlands
kot@few.vu.nl,
• 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.

Host

IIIT Bangalore
In Association With

IW3C2
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