Table of contents

  1. Front Matter
    Pages I-VII
  2. Sören Auer
    Pages 1-17 Open Access
  3. Technology

    1. Front Matter
      Pages 19-19
    2. Peter Boncz, Orri Erling, Minh-Duc Pham
      Pages 21-44 Open Access
    3. Sebastian Hellmann, Volha Bryl, Lorenz Bühmann, Milan Dojchinovski, Dimitris Kontokostas, Jens Lehmann et al.
      Pages 45-69 Open Access
    4. Volha Bryl, Christian Bizer, Robert Isele, Mateja Verlic, Soon Gill Hong, Sammy Jang et al.
      Pages 70-89 Open Access
    5. Christian Mader, Michael Martin, Claus Stadler
      Pages 90-107 Open Access
    6. Bert Van Nuffelen, Valentina Janev, Michael Martin, Vuk Mijovic, Sebastian Tramp
      Pages 108-129 Open Access
  4. Use Cases

    1. Front Matter
      Pages 131-131
    2. Christian Dirschl, Tassilo Pellegrini, Helmut Nagy, Katja Eck, Bert Van Nuffelen, Ivan Ermilov
      Pages 133-154 Open Access
    3. Amar-Djalil Mezaour, Bert Van Nuffelen, Christian Blaschke
      Pages 155-174 Open Access
    4. Sander van der Waal, Krzysztof Węcel, Ivan Ermilov, Valentina Janev, Uroš Milošević, Mark Wainwright
      Pages 175-195 Open Access
    5. Vojtěch Svátek, Jindřich Mynarz, Krzysztof Węcel, Jakub Klímek, Tomáš Knap, Martin Nečaský
      Pages 196-213 Open Access
  5. Back Matter
    Pages 215-215

About this book


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.


DBpedia LOD RDF SPARQL data authoring data enrichment data exploration data extraction data integration data interlinking data management systems data quality data visualization information systems knowledge fusion large-scale RDF data management linked data for mdeia publishing linked enterprise data linked open data linked open data applications open government data resource description framework semantic Web

Editors and affiliations

  • Sören Auer
    • 1
  • Volha Bryl
    • 2
  • Sebastian Tramp
    • 3
  1. 1.Inst. f. Informatik IIIRheinische Friedrich-Wilhelms-UniversitätBonnGermany
  2. 2.University of MannheimMannheimGermany
  3. 3.University of LeipzigLeipzigGermany

Bibliographic information

  • DOI
  • Copyright Information The Editor(s)(if applicable) and the Author(s) 2014
  • License CC BY-NC
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-09845-6
  • Online ISBN 978-3-319-09846-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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