Linked Open Data -- Creating Knowledge Out of Interlinked Data

Released on by Sören Auer
preview-18

  • Linked Open Data -- Creating Knowledge Out of Interlinked Data Book Detail

  • Author : Sören Auer
  • Release Date : 2014-07-31
  • Publisher : Springer
  • Genre : Computers
  • Pages : 218
  • ISBN 13 : 3319098462
  • File Size : 62,62 MB
DOWNLOAD BOOK

Linked Open Data -- Creating Knowledge Out of Interlinked Data by Sören Auer PDF Summary

Book Description: 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.

Disclaimer: www.yourbookbest.com does not own Linked Open Data -- Creating Knowledge Out of Interlinked Data books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Smart Connected World

Smart Connected World

File Size : 72,72 MB
Total View : 478 Views
DOWNLOAD

This book provides an overview of the emerging smart connected world, and discusses the roles and the usage of underlying semantic computing and Internet-of-Thi