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Linked Data Visualization: Techniques, Tools, and Big Data (en Inglés)
Laura Po
(Autor)
·
Nikos Bikakis
(Autor)
·
Federico Desimoni
(Autor)
·
Springer
· Tapa Dura
Linked Data Visualization: Techniques, Tools, and Big Data (en Inglés) - Po, Laura ; Bikakis, Nikos ; Desimoni, Federico
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Origen: Reino Unido
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Martes 25 de Junio y el
Miércoles 03 de Julio.
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Reseña del libro "Linked Data Visualization: Techniques, Tools, and Big Data (en Inglés)"
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.
