Table of contents

  1. Front Matter
    Pages i-xxvi
  2. Why Link Enterprise Data?

    1. Front Matter
      Pages 1-2
    2. Edward Curry, Andre Freitas, Sean O’Riáin
      Pages 25-47
  3. Approval and Support of Linked Data Projects

    1. Front Matter
      Pages 49-50
    2. Bernadette Hyland
      Pages 51-64
  4. Techniques for Linking Enterprise Data

    1. Front Matter
      Pages 77-78
    2. Alexandre Passant, Philippe Laublet, John G. Breslin, Stefan Decker
      Pages 79-102
    3. Roberto García, Rosa Gil
      Pages 103-125
  5. Success Stories

    1. Front Matter
      Pages 175-176
    2. Steve Harris, Tom Ilube, Mischa Tuffield
      Pages 209-219
    3. Constantine Hondros
      Pages 221-240
    4. Yves Raimond, Tom Scott, Silver Oliver, Patrick Sinclair, Michael Smethurst
      Pages 263-283
  6. Back Matter
    Pages 285-291

About this book


Enterprise data is growing at a much faster rate than traditional technologies allow. New enterprise architectures combining existing technologies are desperately needed. This book suggests a way forward by applying new techniques of the World Wide Web to enterprise information systems.

Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web and Linked Data research, standards development and adoption. Linking enterprise data is the application of World Wide Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises. This book is divided into four sections: Benefits of applying Linked Data principles in enterprise settings, enterprise approval and support of Linked Data projects, specific Linked Data techniques and a number of real-world success stories from early enterprise adopters.

Linking Enterprise Data targets professionals working as CTOs, CIOs, enterprise architects, project managers and application developers in commercial, not-for-profit and government organizations concerned with scalability, flexibility and robustness of information management systems. Computer science graduate students and researchers focusing on enterprise information integration will also benefit.


Information architecture Management Persistent Resource Description Framework (RDF) Simple Knowledge Organisation System (SKOS) Text Uniform Resource Identifiers (URIs) World Wide Web currentjm data architecture information organization linked data open standards organization semantic web

Editors and affiliations

  • David Wood
    • 1
  1. 1.3 Round Stones LLCFredericksburgUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media, LLC 2010
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-1-4419-7664-2
  • Online ISBN 978-1-4419-7665-9
  • Buy this book on publisher's site