Linked Data Visualization Book [PDF] Download

Download the fantastic book titled Linked Data Visualization written by Laura Po, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Linked Data Visualization", which was released on 20 March 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Linked Data Visualization by Laura Po PDF

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 adopted as the established practice 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 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 Big Data 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.


Detail About Linked Data Visualization PDF

  • Author : Laura Po
  • Publisher : Morgan & Claypool Publishers
  • Genre : Computers
  • Total Pages : 157 pages
  • ISBN : 1681737264
  • PDF File Size : 37,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

Clicking on the GET BOOK button will initiate the downloading process of Linked Data Visualization by Laura Po. This book is available in ePub and PDF format with a single click unlimited downloads.

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  • File Size : 43,7 Mb
  • Release Date : 01 January 2012
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Linked Data Visualization

Linked Data Visualization
  • Publisher : Morgan & Claypool Publishers
  • File Size : 44,9 Mb
  • Release Date : 20 March 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

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  • File Size : 49,6 Mb
  • Release Date : 30 December 2013
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Summary Linked Data presents the Linked Data model in plain, jargon-free language to Web developers. Avoiding the overly academic terminology of the Semantic Web, this new book presents practical techniques,

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  • Release Date : 16 June 2024
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Resource Description and Access, and Library of Congress s commitment to a new bibliographic framework all point toward opportunities for shared, linked library data. In this issue of Library Technology

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  • File Size : 49,8 Mb
  • Release Date : 16 June 2024
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The World Wide Web has enabled the creation of a global information space comprising linked documents. As the Web becomes ever more enmeshed with our daily lives, there is a

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  • Publisher : Springer
  • File Size : 55,8 Mb
  • Release Date : 10 April 2015
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This book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and end-to-end

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  • Publisher : Packt Publishing Ltd
  • File Size : 20,7 Mb
  • Release Date : 10 September 2013
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The book is styled on a Cookbook, containing recipes - combined with free datasets - which will turn readers into proficient OpenRefine users in the fastest possible way.This book

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  • Publisher : Facet Publishing
  • File Size : 27,8 Mb
  • Release Date : 18 June 2014
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This highly practical handbook teaches you how to unlock the value of your existing metadata through cleaning, reconciliation, enrichment and linking and how to streamline the process of new metadata

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  • File Size : 25,7 Mb
  • Release Date : 20 December 2013
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This book constitutes the refereed proceedings of the Seventh Chinese Semantic Web Symposium and the Second Chinese Web Science Conference, CSWS 2013, held in Shanghai, China in August 2013. The 14 revised full

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  • Release Date : 19 April 2016
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Geographic Information has an important role to play in linking and combining datasets through shared location, but the potential is still far from fully realized because the data is not