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  • Book
  • © 2005

Knowledge and Information Visualization

Searching for Synergies

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

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

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Table of contents (20 chapters)

  1. Front Matter

  2. Visualizing Knowledge and Information: An Introduction

    1. Visualizing Knowledge and Information: An Introduction

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

    1. Front Matter

      Pages 25-25
    2. Representational Correspondence as a Basic Principle of Diagram Design

      • Christopher F. Chabris, Stephen M. Kosslyn
      Pages 36-57
  4. Knowledge Visualization

    1. Front Matter

      Pages 59-59
    2. Collaborative Knowledge Visualization for Cross-Community Learning

      • Jasminko Novak, Michael Wurst
      Pages 95-116
  5. Information Visualization

    1. Front Matter

      Pages 117-117
  6. Synergies Visualizing Knowledge and Information for Fostering Learning and Instruction

    1. Front Matter

      Pages 183-183
    2. Concept Maps: Integrating Knowledge and Information Visualization

      • Alberto J. Cañas, Roger Carff, Greg Hill, Marco Carvalho, Marco Arguedas, Thomas C. Eskridge et al.
      Pages 205-219
    3. ParIS – Visualizing Ideas and Information in a Resource-Based Learning Scenario

      • 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- thinking.org/dikw/dikw.htm): 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.

Editors and Affiliations

  • Institut für Wissensmedien (IWM), Tübingen, Germany

    Sigmar-Olaf Tergan

  • Institut für Wissensmedien (IWM), Tuebingen, Germany

    Tanja Keller

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access