Chapter 1. Introduction [details]
  • The Power of Visualization on Linked Data
  • The Web of Linked, Open, and Semantic Data
  • Principles of Linked Data
  • The Linked Open Data Cloud
  • Web of Data in Numbers
  • The Value and Impact of Linked and Open Data
  • Semantic Web Technologies
  •       − RDF
          − RDFS & OWL
          − SPARQL
          − Storage Technologies
  • Conclusions
  • Chapter 2. Principles of Data Visualization [details]
  • Data Visualization Design Process
  • Data Visualization Types
  •       − Visualizing Patterns over Time
          − Visualizing Proportions
          − Visualizing Graph Relationships
          − Visualizing Data on Maps
  • Interactive Visualization
  • Visualization in Big Data era
  •    − How does the Visualization of Big Data Differs from Traditional Ones?
       − Visualization Systems and Techniques
  • Conclusions
  • Chapter 3. Linked Data Visualization Tools [details]
  • Evolution Over Time
  • Browsers and Exploratory Tools
  • Tools using Multiple Visualization Types
  • Graph-based Visualization Tools
  • Domain, Vocabulary-specific; and Device-oriented Visualization Tools
  • Ontology Visualization Tools
  • Conclusions
  • Chapter 4. Visualization Use Cases [details]
  • User Needs on LD Visual Exploration
  • Use cases
  • Modeling Use Cases
  •       − T-Box related Use Cases
          − A-Box related Use Cases
          − T-Box and A-Box related Use Cases
  • Conclusions
  • Chapter 5. Empirical Evaluation of Linked Data Visualization Tools [details]
  • Basic Characteristics of the Tools
  • Evaluation
  •       − Evaluation of T-Box Use Cases
          − Evaluation of A-Box Use Cases
          − Evaluation of A-Box and T-Box Use Cases
          − Evaluation Summary
  • Different Tools for Different Tasks
  • Conclusions
  • Chapter 6. Conclusions and Future Challenges

    Bibliography [pdf]