Knowledge and Information Visualization: Searching for Synergies

Front Cover
Sigmar-Olaf Tergan, Tanja Keller
Springer Science & Business Media, Jun 27, 2005 - Computers - 385 pages
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.
 

Contents

An Introduction
1
The Foundation of Visual Thinking
13
Integrating Knowledge and Information Visualization
16
Representational Correspondence as a Basic Principle
36
NodeLink Mapping Principles for Visualizing Knowledge
59
Tools for Representing Problems and the Knowledge Required
82
Collaborative Knowledge Visualization for CrossCommunity Learning
95
Modeling Interactive 3Dimensional Information Visualizations
119
Digital Concept Maps for Managing Knowledge and Information
184
ParIS Visualizing Ideas and Information in a ResourceBased
256
A Concept Map Based Course Visualization Tool
283
Navigating Personal Information Repositories with Weblog
302
Facilitating Web Search with Visualization and Data Mining Techniques
326
Supporting Selfregulated ELearning with Visual TopMapNavigation
355
Information and Knowledge Visualization in Development
364
Author Index
385

Prospects and Pitfalls
136
The Impact of Dimensionality and Color Coding of Information
167

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