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Linked Open Data -- Creating Knowledge Out of Interlinked Data

Results of the LOD2 Project

Linked Open Data -- Creating Knowledge Out of Interlinked Data by Sören Auer
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Linked Open Data (LOD) is a pragmatic approach for realizing the Semantic Web vision of making the Web a global, distributed, semantics-based information system. This book presents an overview on the results of the research project “LOD2 -- Creating Knowledge out of Interlinked Data”. LOD2 is a large-scale integrating project co-funded by the European Commission within the FP7 Information and Communication Technologies Work Program. Commencing in September 2010, this 4-year project comprised leading Linked Open Data research groups, companies, and service providers from across 11 European countries and South Korea. The aim of this project was to advance the state-of-the-art in research and development in four key areas relevant for Linked Data, namely 1. RDF data management; 2. the extraction, creation, and enrichment of structured RDF data; 3. the interlinking and fusion of Linked Data from different sources and 4. the authoring, exploration and visualization of Linked Data.
Springer International Publishing; July 2014
218 pages; ISBN 9783319098463
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Title: Linked Open Data -- Creating Knowledge Out of Interlinked Data
Author: Sören Auer; Volha Bryl; Sebastian Tramp
 
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