Linked Data Visualization: Techniques, Tools, and Big Data

Book Description

Linked Data (LD) is a well-established standard for publishing and managing structured on the Web, gathering and bridging together knowledge from different and commercial domains. The development of Linked Data techniques and tools has been adopted as the established practice for the of this vast amount of information by data scientists, domain experts, 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 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.

Book Details

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Download LinkFormatSize (MB)Upload Date
Download from NitroFlareTrue PDF27.409/30/2020
Download from up-4everTrue PDF27.410/01/2020
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