Scalable integration and processing of linked data

Authors:
Andreas Harth;Aidan Hogan;Spyros Kotoulas;Jacopo Urbani
Affiliations:
Institute AIFB, Karlsruhe Institute of Technology, Karlsruhe, Germany;Digital Enterprise Research Institute (DERI), National University of Ireland, Galway, Galway, Ireland;Dept. of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands;Dept. of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
Venue:
Proceedings of the 20th international conference companion on World wide web
Year:
2011

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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.