Flexible Approaches in Data, Information and Knowledge Management

  • Olivier Pivert
  • Sławomir Zadrożny

Part of the Studies in Computational Intelligence book series (SCI, volume 497)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Bipolar Preference Queries

    1. Front Matter
      Pages 1-1
    2. Tom Matthé, Joachim Nielandt, Sławomir Zadrożny, Guy De Tré
      Pages 21-44
    3. Ludovic Liétard, Daniel Rocacher, Nouredine Tamani
      Pages 45-69
    4. Sławomir Zadrożny, Janusz Kacprzyk
      Pages 71-91
  3. Ontology-based Data Access

    1. Front Matter
      Pages 93-93
    2. Jesús R. Campaña, Juan M. Medina, Maria A. Vila
      Pages 115-140
  4. Uncertain Databases

    1. Front Matter
      Pages 141-141
    2. Patrice Buche, Sébastien Destercke, Valérie Guillard, Ollivier Haemmerlé, Rallou Thomopoulos
      Pages 165-188
    3. José Pons, Christophe Billiet, Olga Pons, Guy De Tré
      Pages 189-220
  5. Flexible Queries Over Nonstandard Data

    1. Front Matter
      Pages 221-221
    2. Gloria Bordogna, Gabriella Pasi, Giuseppe Psaila
      Pages 223-239
  6. Fuzzy Knowledge Discovery and Exploitation

    1. Front Matter
      Pages 259-259
    2. Grégory Smits, Olivier Pivert, Allel Hadjali
      Pages 261-289
    3. Malaquias Q. Flores, Federico Del Razo, Anne Laurent , Nicolas Sicard
      Pages 291-320

About this book

Introduction

This volume showcases contributions from internationally-known researchers in the field of information management. Most of the approaches presented here make use of fuzzy logic, introduced by L.A. Zadeh almost 50 years ago, which constitute a powerful tool to model and handle gradual concepts. What all of these contributions have in common is placing the user at the center of the information system, be it for helping him/her to query a data set, to handle imperfect information, or to discover useful knowledge from a massive collection of data.

Researchers working in data and knowledge management will greatly benefit from this collection of up-to-date studies. This may be also an invaluable source of information for  postgraduate students interested in advanced information management techniques.

Keywords

Computational Intelligence Data Management Information Management Knowledge Management

Editors and affiliations

  • Olivier Pivert
    • 1
  • Sławomir Zadrożny
    • 2
  1. 1.IRISA/ENSSATUniversité de Rennes 1Lannion CedexFrance
  2. 2.Systems Research InstitutePolish Academy of SciencesWarsawPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-00954-4
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-00953-7
  • Online ISBN 978-3-319-00954-4
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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