Linked Data Visualization : Techniques, Tools, and Big Data (Synthesis Lectures on Data, Semantics, and Knowledge)

Linked Data Visualization : Techniques, Tools, and Big Data (Synthesis Lectures on Data, Semantics, and Knowledge)

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  • 製本 Paperback:紙装版/ペーパーバック版／ページ数 157 p.
  • 言語 ENG
  • 商品コード 9781681737256

Full Description

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 adopted as the established practice 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 topics, 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 core concepts related to data visualization and LD technologies, techniques employed for data visualization based on the characteristics of data, techniques for Big Data visualization, 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 as a primer for all those interested in LD and data visualization.

Contents

Preface
Acknowledgments
Introduction
Principles of Data Visualization
Linked Data Visualization Tools
Visualization Use Cases
Empirical Evaluation of Linked Data Visualization Tools
Conclusions and Future Challenges
Bibliography
Authors' Biographies