Smart Information and Knowledge Management

Advances, Challenges, and Critical Issues

  • Edward Szczerbicki
  • Ngoc Thanh Nguyen

Part of the Studies in Computational Intelligence book series (SCI, volume 260)

Table of contents

  1. Front Matter
  2. Martin Drozda, Sven Schaust, Helena Szczerbicka
    Pages 1-26
  3. Mahmoud Efatmaneshnik, Carl Reidsema, Jacek Marczyk, Asghar Tabatabaei Balaei
    Pages 27-52
  4. Nadim Obeid, Asma Moubaiddin
    Pages 53-82
  5. Dariusz Barbucha, Ireneusz Czarnowski, Piotr Jędrzejowicz, Ewa Ratajczak-Ropel, Iza Wierzbowska
    Pages 83-102
  6. Massimiliano Cattafi, Evelina Lamma, Fabrizio Riguzzi, Sergio Storari
    Pages 103-127
  7. Hugo L. Borges, Ana C. Lorena
    Pages 129-151
  8. Jakub Chabik, Cezary Orłowski, Tomasz Sitek
    Pages 177-196
  9. Holger Brocks, Alfred Kranstedt, Gerald Jäschke, Matthias Hemmje
    Pages 197-226
  10. Leszek Siwik, Krzysztof Lewandowski, Adam Woś, Rafał Dreżewski, Marek Kisiel-Dorohinicki
    Pages 227-246
  11. Tomás V. Arredondo
    Pages 247-272
  12. Yasser Mohammad, Toyoaki Nishida
    Pages 309-338
  13. Back Matter

About this book


New approaches are needed that could move us towards developing effective applicable intelligent systems for problem solving and decision making, 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 14 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 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.


Racter agents evolution information management knowledge knowledge management learning modeling problem solving

Editors and affiliations

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

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-04583-7
  • Online ISBN 978-3-642-04584-4
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site