Linked Data Visualization: Techniques, Tools, and Big Data

✍ Scribed by Laura Po, Nikos Bikakis, Federico Desimoni, George Papastefanatos

• Publisher: Morgan & Claypool Publishers
• Year: 2020
• Tongue: English
• Leaves: 157
• Series: Synthesis Lectures on Data, Semantics, and Knowledge
• Category: Library

✦ Synopsis

Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains. The development of Linked Data Visualization techniques and tools has been followed as the primary means for the analysis of this vast amount of information by data scientists, domain experts, business users, and citizens. This book covers a wide spectrum of visualization issues, providing an overview of the recent advances in this area, focusing on techniques, tools, and use cases of visualization and visual analysis of LD. It presents the basic concepts related to data visualization and the LD technologies, the techniques employed for data visualization based on the characteristics of data techniques for Big Data visualization, use tools and use cases in the LD context, and finally a thorough assessment of the usability of these tools under different scenarios. The purpose of this book is to offer a complete guide to the evolution of LD visualization for interested readers from any background and to empower them to get started with the visual analysis of such data. This book can serve as a course textbook or a primer for all those interested in LD and data visualization.

✦ Table of Contents

Preface
Acknowledgments
Introduction
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
Conclusions
Principles of Data Visualization
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 Differ from Traditional Ones?
Visualization Systems and Techniques
Conclusions
Linked Data Visualization Tools
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
Visualization Use Cases
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
Empirical Evaluation of Linked Data Visualization Tools
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 Uses Cases
Evaluation Summary
Different Tools for Different Tasks
Conclusions
Conclusions and Future Challenges
Future Challenges
Bibliography
Authors' Biographies