國立虎尾科技大學 |

Linked data visualization : = techniques, tools, and big data /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Linked data visualization :/ Laura Po, Nikos Bikakis, Federico Desimoni, George Papastefanatos.
Reminder of title:	techniques, tools, and big data /
remainder title:	Techniques, tools, and big data
Author:	Po, Laura,
other author:	Bikakis, Nikos,
Description:	1 online resource (159 p.)
Subject:	Linked data. -
Online resource:	https://portal.igpublish.com/iglibrary/search/MCPB0006529.html
ISBN:	1681737264

Linked data visualization : = techniques, tools, and big data /
Po, Laura,

Linked data visualization :techniques, tools, and big data /Techniques, tools, and big dataLaura Po, Nikos Bikakis, Federico Desimoni, George Papastefanatos. - 1 online resource (159 p.) - Synthesis lectures on data, semantics, and knowledge ;19. - Synthesis lectures on data, semantics, and knowledge ;#19..

Includes bibliographical references (pages 113-140).

Linked data visualization : techniques, tools, and big data -- Contents -- Preface -- Acknowledgments -- Chapter 1: Introduction -- Chapter 2: Principles of Data Visualization -- Chapter 3: Linked Data Visualization Tools -- Chapter 4: Visualization Use Cases -- Chapter 5: Empirical Evaluation of Linked Data Visualization Tools -- Chapter 6: Conclusions and Future Challenges -- Bibliography -- Authors' Biographies.

Access restricted to authorized users and institutions.

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.

Mode of access: World Wide Web.

ISBN: 1681737264Subjects--Topical Terms:

1031097
Linked data.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QA76.9.I52

Dewey Class. No.: 001.4

Linked data visualization : = techniques, tools, and big data /
LDR:02937nam a2200337 a 4500 001 1041757
006 m eo d
007 cr cn |||m|||a
008 211215t20202020cau ob 000 0 eng d
020 $a 1681737264
020 $a 9781681737256
020 $a 9781681737263
020 $a 9781681737270
035 $a MCPB0006529
040 $a iG Publishing $b eng $c iG Publishing $e rda
050 0 0 $a QA76.9.I52
082 0 0 $a 001.4
100 1 $a Po, Laura, $e author. $3 1253166
245 1 0 $a Linked data visualization : $b techniques, tools, and big data / $c Laura Po, Nikos Bikakis, Federico Desimoni, George Papastefanatos.
246 3 0 $a Techniques, tools, and big data
264 1 $a San Rafael, California : $b Morgan & Claypool Publishers, $c 2020.
264 4 $c ©2020
300 $a 1 online resource (159 p.)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
490 1 $a Synthesis lectures on data, semantics, and knowledge ; $v 19
504 $a Includes bibliographical references (pages 113-140).
505 0 $a Linked data visualization : techniques, tools, and big data -- Contents -- Preface -- Acknowledgments -- Chapter 1: Introduction -- Chapter 2: Principles of Data Visualization -- Chapter 3: Linked Data Visualization Tools -- Chapter 4: Visualization Use Cases -- Chapter 5: Empirical Evaluation of Linked Data Visualization Tools -- Chapter 6: Conclusions and Future Challenges -- Bibliography -- Authors' Biographies.
506 $a Access restricted to authorized users and institutions.
520 3 $a 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.
538 $a Mode of access: World Wide Web.
650 0 $a Linked data. $3 1031097
650 0 $a Information visualization. $3 579898
650 0 $a Big data. $3 981821
650 0 $a Semantic Web. $3 559260
655 4 $a Electronic books. $2 local $3 554714
700 1 $a Bikakis, Nikos, $e author. $3 1341707
700 1 $a Desimoni, Federico, $e author. $3 1341708
700 1 $a Papastefanatos, George, $e author. $3 1341709
700 1 $a Ding, Ying, $e editor. $3 1341710
700 1 $a Groth, Paul, $e editor. $3 1341711
830 0 $a Synthesis lectures on data, semantics, and knowledge ; $v #19. $3 1253170
856 4 0 $u https://portal.igpublish.com/iglibrary/search/MCPB0006529.html