Linked Open Data -- Creating Knowledge Out of Interlinked Data Book Reviews
Linked Open Data -- Creating Knowledge Out of Interlinked Data by Sören Auer, Volha Bryl & Sebastian Tramp Book Summary
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.
Book Name | Linked Open Data -- Creating Knowledge Out of Interlinked Data |
Genre | Databases |
Author | Sören Auer, Volha Bryl & Sebastian Tramp |
Published | 31 July 2014, Thursday |
Language | English |
E-Book Size | 5.07 MB |
Linked Open Data -- Creating Knowledge Out of Interlinked Data (Sören Auer, Volha Bryl & Sebastian Tramp) Book Reviews 2024
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Summary of Linked Open Data -- Creating Knowledge Out of Interlinked Data by Sören Auer, Volha Bryl & Sebastian Tramp
The Linked Open Data -- Creating Knowledge Out of Interlinked Data book written by Sören Auer, Volha Bryl & Sebastian Tramp was published on 31 July 2014, Thursday in the Databases category. A total of 12 readers of the book gave the book 0 points out of 5.
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