| 書(shū)目名稱 | Linked Data Visualization | | 副標(biāo)題 | Techniques, Tools, a | | 編輯 | Laura Po,Nikos Bikakis,George Papastefanatos | | 視頻video | http://file.papertrans.cn/587/586753/586753.mp4 | | 叢書(shū)名稱 | Synthesis Lectures on Data, Semantics, and Knowledge | | 圖書(shū)封面 |  | | 描述 | .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 ca | | 出版日期 | Book 2020 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-79490-2 | | isbn_ebook | 978-3-031-79490-2Series ISSN 2691-2023 Series E-ISSN 2691-2031 | | issn_series | 2691-2023 | | copyright | Springer Nature Switzerland AG 2020 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-6 10:06
發(fā)表于 2025-3-21 16:52:09
