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Visualizing the Semantic Web - XML-based Internet and Information Visualization

of: Vladimir Geroimenko, Chaomei Chen

Springer-Verlag, 2006

ISBN: 9781846282904 , 248 Pages

2. Edition

Format: PDF, Read online

Copy protection: DRM

Windows PC,Mac OSX Apple iPad, Android Tablet PC's Read Online for: Windows PC,Mac OSX,Linux

Price: 142,79 EUR



More of the content

Visualizing the Semantic Web - XML-based Internet and Information Visualization


 

Preface

6

Contents

9

PART 1 Semantic, Visual, and Technological Facets of the Second-Generation Web

15

Chapter 1 The Concept and Architecture of the Semantic Web

17

1.1 From HTML to XML and the Semantic Web

17

1.2 The XML Family of Technologies

23

1.3 The Architecture of the Semantic Web

27

1.4 References

31

Chapter 2 Information Visualization and the Semantic Web

33

2.1 Introduction

33

2.2 The Semantic Web

33

2.2.1 Visualization Issues

34

2.2.2 Semantic Annotation

35

2.3 Information Visualization

41

2.3.1 Tracking Knowledge and Technology Trends

42

2.3.2 Citation Analysis

42

2.3.3 Patent Citation Analysis

43

2.4 A Harmonious Relationship?

44

2.4.1 Beyond Information Retrieval

44

2.4.2 Yin and Yang

47

2.4.3 An Illustrative Example

48

2.5 Conclusion

56

2.6 References

56

Chapter 3 Ontology-Based Information Visualization: Toward Semantic Web Applications

59

3.1 Introduction

59

3.2 Cluster Map Basics

60

3.3 Applications

62

3.3.1 The DOPE Browser

62

3.3.2 Xarop/SWAP: Peer-to-Peer Knowledge Management

64

3.3.3 Aduna AutoFocus

66

3.4 Uses of Ontology-Based Visualization

68

3.4.1 Data Analysis

68

3.4.2 Querying

68

3.4.3 Exploration

70

3.5 Future Work

71

3.6 Summary

71

3.7 References

72

Chapter 4 Topic Maps, RDF Graphs, and Ontologies Visualization

73

4.1 Introduction

73

4.2 Topic Maps, RDF, and Ontologies Basic Concepts

74

4.2.1 Topic Maps

74

4.2.2 RDF

75

4.2.3 Ontologies

77

4.3 Semantic Graphs Visualization

77

4.3.1 Visualization Goals

78

4.3.2 Visualization Techniques

79

4.4 Conclusion and Perspectives

91

4.5 References

92

Chapter 5 Web Services: Description, Interfaces, and Ontology

94

5.1 Introduction

94

5.2 Semantic Web and Web Services: A Comparison

94

5.3 Web Services Definition and Description Layers

95

5.3.1 Standardization Efforts

96

5.3.2 The Significance of SOAP

96

5.4 SOAP in Greater Detail

96

5.4.1 SOAP Message

96

5.4.2 The Structure of a SOAP Message

97

5.4.3 Examples of SOAP Messages

98

5.5 What Is It Like for a Programmer?

100

5.5.1 Axis SOAP Server and Tomcat Servlet Engine

100

5.5.2 From Java Class to SOAP Server

101

5.5.3 Constructing a SOAP Client

101

5.6 WSDL

102

5.6.1 WSDL Document Structure and Examples

103

5.6.2 Options and Alternatives

105

5.6.3 What Can One Do with WSDL?

105

5.7 UDDI

106

5.7.1 Components of a UDDI Entry

106

5.7.2 UDDI and WSDL

107

5.7.3 Semantical and Ontological Needs

108

5.8 References

114

Chapter 6 Recommender Systems for the Web

116

6.1 Introduction

116

6.2 The Beginning of Collaborative Filtering

117

6.3 Automated Collaborative Filtering

119

6.4 Enhancing Collaborative Filtering with Semantics

122

6.4.1 New Users and New Items

122

6.4.2 Integrated Content/Collaborative Filtering Solutions

123

6.4.3 Situational and Task-Focused Recommenders

125

6.5 Explanation and Inference

127

6.5.1 Explaining Recommendations

127

6.5.2 Focusing Implicit Ratings

128

6.6 Socially Aware Recommenders

130

6.6.1 Social Navigation

130

6.6.2 Recommending for Groups

131

6.7 Portable Recommenders

133

6.8 Cheating with Recommenders

134

6.9 Conclusion

134

6.10 Acknowledgments

135

6.11 References

135

Chapter 7 SVG and X3D: New XML Technologies for 2D and 3D Visualization

138

7.1 Introduction

138

7.2 SVG

138

7.3 X3D

141

7.4 The Use and Advantages of SVG and X3D

144

7.5 References

146

PART 2 Visual Techniques and Applications for the Semantic Web

149

Chapter 8 Using Graphically Represented Ontologies for Searching Content on the Semantic Web

151

8.1 Introduction

151

8.2 Visual Query Languages

151

8.3 The Graphical Ontology Designer Environment

152

8.3.1 Enabling Technologies

152

8.3.2 GODE GUI and Functionality

159

8.3.4 Advanced Search

163

8.3.5 Application Area of Advanced Graphical Ontologies

164

8.3.6 Intended Audience for Advanced Graphical Search

165

8.3.7 Possible Traps

165

8.4 Conclusion and Further Work

165

8.5 Acknowledgments

166

8.6 References

166

Chapter 9 Adapting Graph Visualization Techniques for the Visualization of RDF Data

168

9.1 Introduction

168

9.2 Background

169

9.3 GViz

171

9.3.1 Data Model

172

9.3.2 Operation Model

173

9.3.3 Visualization

174

9.4 Applications

175

9.4.1 Conceptual Model Visualization

177

9.4.2 Conceptual Model Instance Visualization

178

9.4.3 Application Model Visualization

179

9.4.4 Application Model Instance Visualization

182

9.5 Future Work

183

9.6 Summary

184

9.7 Acknowledgments

185

9.8 References

185

Chapter 10 Spring-Embedded Graphs for Semantic Visualization

186

10.1 Introduction

186

10.2 A Suitable Graph Drawing Algorithm

187

10.3 The Tool

189

10.4 Case Study 1: Visualizing Ontologies—Zoological Information Management System

190

10.5 Case Study 2: Visualizing Instance Data—Social Network Visualization

192

10.6 Future Work

195

10.7 Conclusions

195

10.8 References

195

Chapter 11 Semantic Association Networks: Using Semantic Web Technology to Improve Scholarly Knowledge and Expertise Management

197

11.1 Introduction

197

11.2 Scientific Trends and Current Means to Access Knowledge and Expertise

198

11.3 Semantic Association Networks

202

11.4 Implementing SANs: Opportunities and Challenges

208

11.5 Concluding Remarks

210

11.6 Acknowledgments

211

11.7 References

211

Chapter 12 Interactive Interfaces for Mapping E-Commerce Ontologies

213

12.1 XML-Based Communication between Companies: Visualizing a Mutual Understanding

213

12.2 The Process of Creating and Reading XML Documents and Its Native Visualizations

214

12.3 Technologies for Visualizing XML Documents

216

12.4 A Generalized Interface for Visualizing XML Metadata and Their Structural Relationships

219

12.5 A Web-Based Ontology Translator for E-Commerce Documents

220

12.6 Future Work

222

12.7 References

223

Chapter 13 Back Pain Data Collection Using Scalable Vector Graphics and Geographical Information Systems

224

13.1 Introduction

224

13.1.1 Back Pain Questionnaires

225

13.2 The Pain Drawing

225

13.2.1 Scoring Methods

227

13.2.2 Pain Drawings—Conclusions

228

13.3 Back Pain Data—Technological Solutions

228

13.3.1 SVG

229

13.3.2 ASP

229

13.3.3 GIS

229

13.3.4 Visualization for Mobile and Embedded Applications

230

13.4 System Requirements and Development

231

13.4.1 Regional Diagram for Visual Interaction

232

13.4.2 ASP with a GIF Image Map

233

13.4.3 ASP with SVG Image Map

233

13.4.4 GIS

235

13.5 Wireless-Enabled PDA Solution

235

13.6 Solutions Review and Comparison

237

13.6.1 Comparisons

239

13.7 Conclusions

240

13.8 References

241

Chapter 14 Social Network Analysis on the Semantic Web: Techniques and Challenges for Visualizing FOAF

243

14.1 Introduction

243

14.2 XML, the Semantic Web, and FOAF

244

14.3 Analyzing LiveJournal FOAF

246

14.4 Discussion and Conclusions

253

14.5 Acknowledgments

255

14.6 References

255

Chapter 15 Concluding Remarks: Today’s Vision of Envisioning the Semantic Future

257

Index

259