Linked Data Visualization. Laura PoЧитать онлайн книгу.

ATHENA Research Center, Greece

SYNTHESIS LECTURES ON DATA, SEMANTICS, AND KNOWLEDGE #19

ABSTRACT

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.

KEYWORDS

linked data, data visualization, visual analytics, big data, visualization tools, web of data, semantic web, data exploration, information visualization, usability evaluation, human-computer interaction

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