Table of contents

  1. Front Matter
    Pages i-xx
  2. Publishing Linked Government Data

    1. Front Matter
      Pages 1-2
    2. Boris Villazón-Terrazas, Luis. M. Vilches-Blázquez, Oscar Corcho, Asunción Gómez-Pérez
      Pages 27-49
    3. Timothy Lebo, John S. Erickson, Li Ding, Alvaro Graves, Gregory Todd Williams, Dominic DiFranzo et al.
      Pages 51-72
  3. Improving Linked Data Quality

    1. Front Matter
      Pages 93-94
    2. Matias Frosterus, Eero Hyvönen, Joonas Laitio
      Pages 95-112
    3. Percy Salas, José Viterbo, Karin Breitman, Marco Antonio Casanova
      Pages 113-133
    4. Richard Cyganiak, Michael Hausenblas, Eoin McCuirc
      Pages 135-151
  4. Consuming Linked Government Data

    1. Front Matter
      Pages 153-154
    2. Qing Liu, Quan Bai, Li Ding, Huong Pho, Yun Chen, Corné Kloppers et al.
      Pages 181-204
    3. Dominic DiFranzo, Alvaro Graves, John S. Erickson, Li Ding, James Michaelis, Timothy Lebo et al.
      Pages 205-219
  5. Back Matter
    Pages 221-232

About this book

Introduction

Linking Government Data provides a practical approach to addressing common information management issues. The approaches taken are based on international standards of the World Wide Web Consortium. Linking Government Data gives both the costs and benefits of using linked data techniques with government data; describes how agencies can fulfill their missions with less cost; and recommends how intra-agency culture must change to allow public presentation of linked data. Case studies from early adopters of linked data approaches in international governments are presented in the last section of the book. Linking Government Data is designed as a professional book for those working in Semantic Web research and standards development, and for early adopters of Semantic Web standards and techniques. 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 will also find this book valuable. Students focused on computer science and business management will also find value in this book.

Keywords

Linked data Semantic Web World Wide Web data architecture e-government enterprise data information organization open standards

Editors and affiliations

  • David Wood
    • 1
  1. 1.3 Round Stones Inc.FredericksburgUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-1767-5
  • Copyright Information Springer Science+Business Media, LLC 2011
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-1766-8
  • Online ISBN 978-1-4614-1767-5
  • About this book