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Linked Data Visualization 1st Edition by Laura Po, Nikos Bikakis, Federico Desimoni, George Papastefanatos ISBN 9781681738345 1681738341

Original price was: $50.00.Current price is: $25.00.

Linked Data Visualization 1st Edition Laura Po Digital Instant Download

Author(s): Laura Po; Nikos Bikakis; Federico Desimoni; George Papastefanatos
ISBN(s): 9781681738345, 1681738341
Edition: 1
File Details: EPUB, 9.03 MB
Year: 2020
Language: English
SKU: EB-55362320 Category: Tags: , , ,

Linked Data Visualization 1st Edition by Laura Po, Nikos Bikakis, Federico Desimoni, George Papastefanatos – Ebook PDF Instant Download/Delivery: 9781681738345 ,1681738341
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Product details:
ISBN 10: 1681738341
ISBN 13: 9781681738345
Author: Laura Po, Nikos Bikakis, Federico Desimoni, George Papastefanatos

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.

Linked Data Visualization 1st Edition Table of contents:

  1. The Power of Visualization on Linked Data
  2. The Web of Linked, Open, and Semantic Data
  3. Principles of Linked Data
  4. The Linked Open Data Cloud
  5. Web of Data in Numbers
  6. The Value and Impact of Linked and Open Data
  7. Semantic Web Technologies
  8. Conclusions
  9. Principles of Data Visualization
  10. Data Visualization Design Process
  11. Data Visualization Types
  12. Visualizing Patterns over Time
  13. Visualizing Proportions
  14. Visualizing Graph Relationships
  15. Visualizing Data on Maps
  16. Interactive Visualization
  17. Visualization in Big Data Era
  18. How Does the Visualization of Big Data Differ from Traditional Ones?
  19. Visualization Systems and Techniques
  20. Conclusions
  21. Linked Data Visualization Tools
  22. Evolution Over Time
  23. Browsers and Exploratory Tools
  24. Tools Using Multiple Visualization Types
  25. Graph-Based Visualization Tools
  26. Domain, Vocabulary-Specific, and Device-Oriented Visualization Tools
  27. Ontology Visualization Tools
  28. Conclusions
  29. Visualization Use Cases
  30. User Needs on LD Visual Exploration
  31. Use Cases
  32. Modeling Use Cases
  33. T-Box Related Use Cases
  34. A-Box Related Use Cases
  35. T-Box and A-Box Related Use Cases
  36. Conclusions
  37. Empirical Evaluation of Linked Data Visualization Tools
  38. Basic Characteristics of the Tools
  39. Evaluation
  40. Evaluation of T-Box Use Cases
  41. Evaluation of A-Box Use Cases
  42. Evaluation of A-Box and T-Box Uses Cases
  43. Evaluation Summary
  44. Different Tools for Different Tasks
  45. Conclusions
  46. Conclusions and Future Challenges
  47. Future Challenges

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Tags: Laura Po, Nikos Bikakis, Federico Desimoni, George Papastefanatos, Linked Data Visualization

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