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  • Open Access
  • © 2016

New Horizons for a Data-Driven Economy

A Roadmap for Usage and Exploitation of Big Data in Europe

  • Provides the big picture on how to exploit big data, including technological, economic, political and societal issues

  • Details the complete lifecycle of the big data value chain, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation

  • Illustrates the potential of big data value within different sectors, including industry, healthcare, finance, energy, media and public services

  • Summarizes more than two years of research done by a leading group of major European research centers and industries

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Softcover Book USD 59.99
Price excludes VAT (USA)
Hardcover Book USD 59.99
Price excludes VAT (USA)

Table of contents (16 chapters)

  1. Front Matter

    Pages i-xx
  2. The Big Data Opportunity

    1. Front Matter

      Pages 1-1
    2. The Big Data Value Opportunity

      • José María Cavanillas, Edward Curry, Wolfgang Wahlster
      Pages 3-11Open Access
    3. The BIG Project

      • Edward Curry, Tilman Becker, Ricard Munné, Nuria De Lama, Sonja Zillner
      Pages 13-26Open Access
  3. The Big Data Value Chain: Enabling and Value Creating Technologies

    1. Front Matter

      Pages 27-27
    2. Big Data Acquisition

      • Klaus Lyko, Marcus Nitzschke, Axel-Cyrille Ngonga Ngomo
      Pages 39-61Open Access
    3. Big Data Analysis

      • John Domingue, Nelia Lasierra, Anna Fensel, Tim van Kasteren, Martin Strohbach, Andreas Thalhammer
      Pages 63-86Open Access
    4. Big Data Curation

      • André Freitas, Edward Curry
      Pages 87-118Open Access
    5. Big Data Storage

      • Martin Strohbach, Jörg Daubert, Herman Ravkin, Mario Lischka
      Pages 119-141Open Access
    6. Big Data Usage

      • Tilman Becker
      Pages 143-165Open Access
  4. Usage and Exploitation of Big Data

    1. Front Matter

      Pages 167-167
    2. Big Data-Driven Innovation in Industrial Sectors

      • Sonja Zillner, Tilman Becker, Ricard Munné, Kazim Hussain, Sebnem Rusitschka, Helen Lippell et al.
      Pages 169-178Open Access
    3. Big Data in the Health Sector

      • Sonja Zillner, Sabrina Neururer
      Pages 179-194Open Access
    4. Big Data in the Public Sector

      • Ricard Munné
      Pages 195-208Open Access
    5. Big Data in the Finance and Insurance Sectors

      • Kazim Hussain, Elsa Prieto
      Pages 209-223Open Access
    6. Big Data in the Energy and Transport Sectors

      • Sebnem Rusitschka, Edward Curry
      Pages 225-244Open Access
    7. Big Data in the Media and Entertainment Sectors

      • Helen Lippell
      Pages 245-259Open Access
  5. A Roadmap for Big Data Research

    1. Front Matter

      Pages 261-261
    2. Cross-sectorial Requirements Analysis for Big Data Research

      • Tilman Becker, Edward Curry, Anja Jentzsch, Walter Palmetshofer
      Pages 263-276Open Access

About this book

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

Reviews

“The book provides rich information on the different processes involved in big data value chain and explains each process with case studies in diverse industrial sectors. … the book can help academic researchers, undergraduate students, and graduate students because it contains information about big data and its recent development and generates some research ideas. This book can also facilitate government officials and executives of different organizations to consider future roadmap by taking advantage of big data.” (Sunny Sun and Rob Law, Information Technology & Tourism, Vol. 17, 2017)

                                

Editors and Affiliations

  • Atos Spain, S.A, Madrid, Spain

    José María Cavanillas

  • National University of Ireland Galway , Galway, Ireland

    Edward Curry

  • German Research Centre for AI (DFKI) , Saarbrücken, Germany

    Wolfgang Wahlster

About the editors

José María Cavanillas is currently R&D&I Director in Atos since 2000. He is Master Engineer in Telecommunications in Madrid Technical University (UPM) and has completed post-graduate studies in Business Administration and International Trade from CEPADE. In the last 20 years his team has been involved in more than 200 R&D&I projects.

Edward Curry is a Research Scientist at the Insight Centre for Data Analytics. His research interests include smart cities, energy intelligence, semantic information management, event based systems, and collaborative data management. He has worked extensively with industry and government advising on the adoption patterns, practicalities, and benefits of new technologies.

Wolfgang Wahlster is the Director and CEO of the German Research Center for Artificial Intelligence and a Professor of Computer Science at Saarland University (Saarbrücken, Germany). He has published more than 170 technical papers and 8 books on language technology and intelligent user interfaces.                                                  

Bibliographic Information

Buying options

Softcover Book USD 59.99
Price excludes VAT (USA)
Hardcover Book USD 59.99
Price excludes VAT (USA)