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          New Book <br>
          <br>
          <br>
          "Linked Data Visualization: Techniques, Tools and Big Data" <br>
          Laura Po, Nikos Bikakis, Federico Desimoni & George
          Papastefanatos <br>
          Morgan & Claypool 2020 <br>
          ISBN: 9781681737256 | 9781681737263 (ebook) <br>
          DOI: 10.2200/S00967ED1V01Y201911WBE019 <br>
          <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>
          <br>
          Homepage: <a class="moz-txt-link-freetext"
            href="http://www.linkeddatavisualization.com">http://www.linkeddatavisualization.com</a>
          <br>
          <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. <br>
          <br>
          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. <br>
          <br>
          <br>
          Keywords: <br>
           Linked Data, Visual Analytics, Big Data, Visualization Tools,
          Semantic Web, Data Exploration, Information Visualization,
          Human-Computer Interaction, Usability <br>
          <br>
          <br>
          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>
          <br>
           More: <a class="moz-txt-link-freetext"
            href="http://www.linkeddatavisualization.com/order.html">http://www.linkeddatavisualization.com/order.html</a>
          <br>
          <br>
          <br>
          <br>
          <br>
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          _ <br>
          Nikos Bikakis <br>
          ATHENA Research Center  | Greece <br>
          <a class="moz-txt-link-abbreviated"
            href="http://www.nbikakis.com">www.nbikakis.com</a> <br>
          <br>
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