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      <br>
      New Book
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      "Linked Data Visualization: Techniques, Tools and Big Data"
      <br>
      Laura Po, Nikos Bikakis, Federico Desimoni & George
      Papastefanatos
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      Morgan & Claypool 2020
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      ISBN: 9781681737256 | 9781681737263 (ebook)
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      DOI: 10.2200/S00967ED1V01Y201911WBE019
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      <br>
      Morgan & Claypool: <a class="moz-txt-link-freetext"
href="https://www.morganclaypool.com/doi/abs/10.2200/S00967ED1V01Y201911WBE019">https://www.morganclaypool.com/doi/abs/10.2200/S00967ED1V01Y201911WBE019</a>
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      Homepage: <a class="moz-txt-link-freetext"
        href="http://www.linkeddatavisualization.com">http://www.linkeddatavisualization.com</a>
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      <br>
      <br>
      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 Data (LD). It presents the 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.
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      The purpose of this book is to offer a complete guide to the
      evolution of LD visualization for interested readers from any
      background and empower them to get started with the visual
      analysis of such data. The book can serve as a course textbook or
      as a primer for everyone who wants to explore and analyze LD,
      whether undergraduate and post-graduate students, data scientists,
      semantic technology developers, or UI & UX designers who wish
      to gain some practical experience with LD tools. Previous
      knowledge of Semantic Web technologies such as RDF, OWL, SPARQL,
      or programming skills is not required.
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      Keywords:
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       Linked Data, Visual Analytics, Big Data, Visualization Tools,
      Semantic Web, Data Exploration, Information Visualization,
      Human-Computer Interaction, Usability
      <br>
      <br>
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      Read more information:
      <br>
       <a class="moz-txt-link-freetext"
        href="http://www.linkeddatavisualization.com">http://www.linkeddatavisualization.com</a>
      <br>
      <br>
      <br>
      Order:
      <br>
       Morgan & Claypool: <a class="moz-txt-link-freetext"
        href="https://tinyurl.com/qqul4tm">https://tinyurl.com/qqul4tm</a>
      <br>
       Amazon: <a class="moz-txt-link-freetext"
        href="https://www.amazon.com/dp/1681737256">https://www.amazon.com/dp/1681737256</a>
      <br>
       Barnes & Noble: <a class="moz-txt-link-freetext"
        href="https://tinyurl.com/v8g4yv3">https://tinyurl.com/v8g4yv3</a>
      <br>
       AbeBooks: <a class="moz-txt-link-freetext"
        href="https://tinyurl.com/uvrqu86">https://tinyurl.com/uvrqu86</a>
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       More: <a class="moz-txt-link-freetext"
        href="http://www.linkeddatavisualization.com/order.html">http://www.linkeddatavisualization.com/order.html</a>
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      _
      <br>
      Nikos Bikakis
      <br>
      ATHENA Research Center  | Greece
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      <a class="moz-txt-link-abbreviated" href="http://www.nbikakis.com">www.nbikakis.com</a>
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