Table of contents

  1. Front Matter
    Pages i-xx
  2. The Big Data Opportunity

    1. Front Matter
      Pages 1-1
    2. José María Cavanillas, Edward Curry, Wolfgang Wahlster
      Pages 3-11 Open Access
    3. Edward Curry, Tilman Becker, Ricard Munné, Nuria De Lama, Sonja Zillner
      Pages 13-26 Open Access
  3. The Big Data Value Chain: Enabling and Value Creating Technologies

    1. Front Matter
      Pages 27-27
    2. Klaus Lyko, Marcus Nitzschke, Axel-Cyrille Ngonga Ngomo
      Pages 39-61 Open Access
    3. John Domingue, Nelia Lasierra, Anna Fensel, Tim van Kasteren, Martin Strohbach, Andreas Thalhammer
      Pages 63-86 Open Access
    4. André Freitas, Edward Curry
      Pages 87-118 Open Access
    5. Martin Strohbach, Jörg Daubert, Herman Ravkin, Mario Lischka
      Pages 119-141 Open Access
    6. Tilman Becker
      Pages 143-165 Open Access
  4. Usage and Exploitation of Big Data

    1. Front Matter
      Pages 167-167
    2. Sonja Zillner, Tilman Becker, Ricard Munné, Kazim Hussain, Sebnem Rusitschka, Helen Lippell et al.
      Pages 169-178 Open Access
    3. Sonja Zillner, Sabrina Neururer
      Pages 179-194 Open Access
    4. Ricard Munné
      Pages 195-208 Open Access
    5. Kazim Hussain, Elsa Prieto
      Pages 209-223 Open Access
    6. Sebnem Rusitschka, Edward Curry
      Pages 225-244 Open Access
    7. Helen Lippell
      Pages 245-259 Open Access
  5. A Roadmap for Big Data Research

    1. Front Matter
      Pages 261-261
    2. Tilman Becker, Edward Curry, Anja Jentzsch, Walter Palmetshofer
      Pages 263-276 Open Access

About this book

Introduction

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy.

The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe.

This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.                                                    

Keywords

Big Data Data Management Data Value Data-Driven Economy Information Extraction Information Integration Information Systems Economics

Editors and affiliations

  • José María Cavanillas
    • 1
  • Edward Curry
    • 2
  • Wolfgang Wahlster
    • 3
  1. 1.Atos Spain, S.AMadridSpain
  2. 2.National University of Ireland Galway GalwayIreland
  3. 3.German Research Centre for AI (DFKI) SaarbrückenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-21569-3
  • Copyright Information The Editor(s) and the Author(s) 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-21568-6
  • Online ISBN 978-3-319-21569-3
  • About this book