Innovations in Intelligent Machines-4

Recent Advances in Knowledge Engineering

  • Colette Faucher
  • Lakhmi C. Jain

Part of the Studies in Computational Intelligence book series (SCI, volume 514)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Big Data and Ontologies

    1. Front Matter
      Pages 1-1
    2. Patrice Bellot, Ludovic Bonnefoy, Vincent Bouvier, Frédéric Duvert, Young-Min Kim
      Pages 3-45
    3. Gavin Shaw, Yue Xu, Shlomo Geva
      Pages 47-74
    4. Gaoussou Camara, Sylvie Despres, Rim Djedidi, Moussa Lo
      Pages 75-99
  3. Knowledge-Based Systems

  4. Applications

    1. Front Matter
      Pages 317-317
    2. Beata Zielosko, Igor Chikalov, Mikhail Moshkov, Talha Amin
      Pages 369-392
  5. Back Matter
    Pages 411-412

About this book

Introduction

This research volume is a continuation of our previous volumes on intelligent machine. It is divided into three parts. Part I deals with big data and ontologies. It includes examples related to the text mining, rule mining and ontology. Part II is on knowledge-based systems. It includes context-centered systems, knowledge discovery, interoperability, consistency and systems of systems. The final part is on applications. The applications involve prediction, decision optimization and assessment.

This book is directed to the researchers who wish to explore the field of knowledge engineering further.

Keywords

Computational Intelligence Intelligent Machines Natural Intelligence

Editors and affiliations

  • Colette Faucher
    • 1
  • Lakhmi C. Jain
    • 2
  1. 1.Ecole Polytechnique Universitaire de MarseilleAix-Marseille University (AMU)MarseilleFrance
  2. 2.Faculty of Education, Science, Technology & MathematicsUniversity of CanberraCanberraAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-01866-9
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-01865-2
  • Online ISBN 978-3-319-01866-9
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book