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Knowledge and Information Visualization

Searching for Synergies

  • Book
  • © 2005

Overview

Editors:
  1. Sigmar-Olaf Tergan

    1. Institut für Wissensmedien (IWM), Tübingen, Germany

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    You can also search for this editor in PubMed   Google Scholar

  2. Tanja Keller

    1. Institut für Wissensmedien (IWM), Tuebingen, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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

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  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
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    2. Visual Queries: The Foundation of Visual Thinking

      • Colin Ware
      Pages 27-35

    3. 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
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    2. Node-Link Mapping Principles for Visualizing Knowledge and Information

      • Donald F. Dansereau
      Pages 61-81

    3. Tools for Representing Problems and the Knowledge Required to Solve Them

      • David H. Jonassen
      Pages 82-94

    4. Collaborative Knowledge Visualization for Cross-Community Learning

      • Jasminko Novak, Michael Wurst
      Pages 95-116

  5. Information Visualization

    1. Front Matter

      Pages 117-117
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    2. Modeling Interactive, 3-Dimensional Information Visualizations Supporting Information Seeking Behaviors

      • Gerald Jaeschke, Martin Leissler, Matthias Hemmje
      Pages 119-135

    3. Visualizing Information in Virtual Space: Prospects and Pitfalls

      • Marc M. Sebrechts
      Pages 136-166

    4. The Impact of Dimensionality and Color Coding of Information Visualizations on Knowledge Acquisition

      • Tanja Keller, Matthias Grimm
      Pages 167-182

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

    1. Front Matter

      Pages 183-183
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    2. Digital Concept Maps for Managing Knowledge and Information

      • Sigmar-Olaf Tergan
      Pages 185-204

    3. 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

    4. Comprehensive Mapping of Knowledge and Information Resources: The Case of Webster

      • Sherman R. Alpert
      Pages 220-237

    5. Towards a Framework and a Model for Knowledge Visualization: Synergies Between Information and Knowledge Visualization

      • Remo Aslak Burkhard
      Pages 238-255

    6. 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
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Keywords

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

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