© 2005

Knowledge and Information Visualization

Searching for Synergies

  • Sigmar-Olaf Tergan
  • Tanja Keller

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3426)

Table of contents

  1. Front Matter
  2. Visualizing Knowledge and Information: An Introduction

    1. Tanja Keller, Sigmar-Olaf Tergan
      Pages 1-23
  3. Background

    1. Front Matter
      Pages 25-25
    2. Christopher F. Chabris, Stephen M. Kosslyn
      Pages 36-57
  4. Knowledge Visualization

  5. Information Visualization

  6. Synergies Visualizing Knowledge and Information for Fostering Learning and Instruction

    1. Front Matter
      Pages 183-183
    2. Alberto J. Cañas, Roger Carff, Greg Hill, Marco Carvalho, Marco Arguedas, Thomas C. Eskridge et al.
      Pages 205-219
    3. Anja Neumann, Wolfgang Gräber, Sigmar-Olaf Tergan
      Pages 256-281
  7. Knowledge-Oriented Organization of Information for Fostering Information Use

    1. Front Matter
      Pages 283-283

About this book


formation. The basic ideas underlying knowledge visualization and information vi- alization are outlined. In a short preview of the contributions of this volume, the idea behind each approach and its contribution to the goals of the book are outlined. 2 The Basic Concepts of the Book Three basic concepts are the focus of this book: "data", "information", and "kno- edge". There have been numerous attempts to define the terms "data", "information", and "knowledge", among them, the OTEC Homepage "Data, Information, Kno- edge, and Wisdom" (Bellinger, Castro, & Mills, see http://www.syste- Data are raw. They are symbols or isolated and non-interpreted facts. Data rep- sent a fact or statement of event without any relation to other data. Data simply exists and has no significance beyond its existence (in and of itself). It can exist in any form, usable or not. It does not have meaning of itself.


Navigation algorithmic learning concept maps data mining hypermedia learning information system information visualization knowledge representation knowledge visualization learning organization visual queries visual thinking visualization web search

Editors and affiliations

  • Sigmar-Olaf Tergan
    • 1
  • Tanja Keller
    • 2
  1. 1.Institut für Wissensmedien (IWM)TübingenGermany
  2. 2.Institut für Wissensmedien (IWM)TuebingenGermany

Bibliographic information

Industry Sectors
Chemical Manufacturing
IT & Software
Consumer Packaged Goods
Materials & Steel
Finance, Business & Banking
Energy, Utilities & Environment