Intelligent Systems for Knowledge Management

  • Ngoc Thanh Nguyen
  • Edward Szczerbicki

Part of the Studies in Computational Intelligence book series (SCI, volume 252)

Table of contents

  1. Front Matter
  2. Maciej Ławryńczuk
    Pages 31-63
  3. Cesar Sanín, Leonardo Mancilla-Amaya, Edward Szczerbicki, Paul CayfordHowell
    Pages 65-86
  4. Samer Hanoun, Saeid Nahavandi (SMIEEE)
    Pages 87-106
  5. Grzegorz Bocewicz, Zbigniew A. Banaszak
    Pages 107-129
  6. Carlos Toro, Manuel Graña, Jorge Posada, Cesar Sanín, Edward Szczerbicki
    Pages 175-195
  7. Trong Hai Duong, Ngoc Thanh Nguyen, Geun Sik Jo
    Pages 197-227
  8. Danuta Zakrzewska
    Pages 229-250
  9. Takayoshi Yamada, Tetsuya Mouri, Nobuharu Mimura, Yasuyuki Funahashi, Hidehiko Yamamoto
    Pages 275-305
  10. Gerd Kock, Marko Ribarić, Nikola Šerbedžija
    Pages 307-329
  11. Back Matter

About this book


New approaches are needed that could move us towards developing effective systems for problem solving and decision making, systems that can deal with complex and ill-structured situations, systems that can function in information rich environments, systems that can cope with imprecise information, systems that can rely on their knowledge and learn from experience - i.e. intelligent systems. One of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 13 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to develop tools for smart processing of knowledge and information. Still, the guide does not presume to give ultimate answers. Rather, it poses ideas and case studies to explore and the complexities and challenges of modern knowledge management issues. It also encourages its reader to become aware of the multifaceted interdisciplinary character of such issues. The premise of this book is that its reader will leave it with a heightened ability to think - in different ways - about developing, evaluating, and supporting intelligent knowledge and information management systems in real life based environment.


agent-based model database databases evolution fuzzy information management intelligent systems knowledge knowledge management learning modeling neural networks ontology problem solving relational database

Editors and affiliations

  • Ngoc Thanh Nguyen
    • 1
  • Edward Szczerbicki
    • 2
  1. 1.Institute of InformaticsWroclaw University of TechnologyWroclawPoland
  2. 2.Faculty of Management and EconomicsGdansk University of TechnologyGdanskPoland

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-04169-3
  • Online ISBN 978-3-642-04170-9
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
Industry Sectors
Chemical Manufacturing
IT & Software
Energy, Utilities & Environment