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Contents

Preface

Acknowledgments

1 Introduction

1.1 The Power of Visualization on Linked Data

1.2 The Web of Linked, Open, and Semantic Data

1.3 Principles of Linked Data

1.4 The Linked Open Data Cloud

1.5 Web of Data in Numbers

1.6 The Value and Impact of Linked and Open Data

1.7 Semantic Web Technologies

1.8 Conclusions

2 Principles of Data Visualization

2.1 Data Visualization Design Process

2.2 Data Visualization Types

2.2.1 Visualizing Patterns over Time

2.2.2 Visualizing Proportions

2.2.3 Visualizing Graph Relationships

2.2.4 Visualizing Data on Maps

2.3 Interactive Visualization

2.4 Visualization in Big Data Era

2.4.1 How Does the Visualization of Big Data Differ from Traditional Ones?

2.4.2 Visualization Systems and Techniques

2.5 Conclusions

3 Linked Data Visualization Tools

3.1 Evolution Over Time

3.2 Browsers and Exploratory Tools

3.3 Tools Using Multiple Visualization Types

3.4 Graph-Based Visualization Tools

3.5 Domain, Vocabulary-Specific, and Device-Oriented Visualization Tools

3.6 Ontology Visualization Tools

3.7 Conclusions

4 Visualization Use Cases

4.1 User Needs on LD Visual Exploration

4.2 Use Cases

4.3 Modeling Use Cases

4.3.1 T-Box Related Use Cases

4.3.2 A-Box Related Use Cases

4.3.3 T-Box and A-Box Related Use Cases

4.4 Conclusions

5 Empirical Evaluation of Linked Data Visualization Tools

5.1 Basic Characteristics of the Tools

5.2 Evaluation

5.2.1 Evaluation of T-Box Use Cases

5.2.2 Evaluation of A-Box Use Cases

5.2.3 Evaluation of A-Box and T-Box Uses Cases

5.2.4 Evaluation Summary

5.3 Different Tools for Different Tasks

5.4 Conclusions

6 Conclusions and Future Challenges

6.1 Future Challenges

Bibliography

Authors’ Biographies