Linked Data Visualization

Linked Data Visualization

Techniques, Tools, and Big Data

by Laura PoNikos Bikakis Federico Desimoni and others

Paperback / softback Publication Date: 30/03/2020

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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.
ISBN:
9781681737256
9781681737256
Category:
Data capture & analysis
Format:
Paperback / softback
Publication Date:
30-03-2020
Publisher:
Morgan & Claypool Publishers
Country of origin:
United States
Pages:
157
Dimensions (mm):
235x191x9mm
Weight:
0.28kg

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