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 /
Author:	Po, Laura,
other author:	Bikakis, Nikos
Description:	1 PDF (xiii, 143 pages) :illustrations (some color). :
Notes:	Part of: Synthesis digital library of engineering and computer science.
Subject:	Linked data. -
Online resource:	https://ieeexplore.ieee.org/servlet/opac?bknumber=9048173
Online resource:	https://doi.org/10.2200/S00967ED1V01Y201911WBE019
ISBN:	9781681737263

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

Linked data visualization :techniques, tools, and big data /Laura Po, Nikos Bikakis, Federico Desimoni, George Papastefanatos. - 1 PDF (xiii, 143 pages) :illustrations (some color). - Synthesis lectures on data, semantics, and knowledge,#192160-472X ;. - Synthesis digital library of engineering and computer science..

Part of: Synthesis digital library of engineering and computer science.

Includes bibliographical references (pages 113-140).

1. Introduction -- 1.1. The power of visualization on linked data -- 1.2. The web of linked, open, and semantic data -- 1.3. Principles of linked data -- 1.4. The linked open data cloud -- 1.5. Web of data in numbers -- 1.6. The value and impact of linked and open data -- 1.7. Semantic web technologies -- 1.8. Conclusions

Abstract freely available; full-text restricted to subscribers or individual document purchasers.

Compendex

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: 9781681737263

Standard No.: 10.2200/S00967ED1V01Y201911WBE019doiSubjects--Topical Terms:

1031097
Linked data.
Subjects--Index Terms:

linked dataIndex Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: Z666.73.L56 / P655 2020eb

Dewey Class. No.: 025.024

Linked data visualization : = techniques, tools, and big data /
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020 $z 9781681737270 $q hardcover
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024 7 $a 10.2200/S00967ED1V01Y201911WBE019 $2 doi
035 $a (CaBNVSL)thg00980434
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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.
264 1 $a [San Rafael, California] : $b Morgan & Claypool, $c [2020]
300 $a 1 PDF (xiii, 143 pages) : $b illustrations (some color).
336 $a text $2 rdacontent
337 $a electronic $2 isbdmedia
338 $a online resource $2 rdacarrier
490 1 $a Synthesis lectures on data, semantics, and knowledge, $x 2160-472X ; $v #19
500 $a Part of: Synthesis digital library of engineering and computer science.
504 $a Includes bibliographical references (pages 113-140).
505 0 $a 1. Introduction -- 1.1. The power of visualization on linked data -- 1.2. The web of linked, open, and semantic data -- 1.3. Principles of linked data -- 1.4. The linked open data cloud -- 1.5. Web of data in numbers -- 1.6. The value and impact of linked and open data -- 1.7. Semantic web technologies -- 1.8. Conclusions
505 8 $a 2. Principles of data visualization -- 2.1. Data visualization design process -- 2.2. Data visualization types -- 2.3. Interactive visualization -- 2.4. Visualization in big data era -- 2.5. Conclusions
505 8 $a 3. Linked data visualization tools -- 3.1. Evolution over time -- 3.2. Browsers and exploratory tools -- 3.3. Tools using multiple visualization types -- 3.4. Graph-based visualization tools -- 3.5. Domain, vocabulary-specific, and device-oriented visualization tools -- 3.6. Ontology visualization tools -- 3.7. Conclusions
505 8 $a 4. Visualization use cases -- 4.1. User needs on LD visual exploration -- 4.2. Use cases -- 4.3. Modeling use cases -- 4.4. Conclusions
505 8 $a 5. Empirical evaluation of linked data visualization tools -- 5.1. Basic characteristics of the tools -- 5.2. Evaluation -- 5.3. Different tools for different tasks -- 5.4. Conclusions
505 8 $a 6. Conclusions and future challenges -- 6.1. Future challenges.
506 $a Abstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0 $a Compendex
510 0 $a INSPEC
510 0 $a Google scholar
510 0 $a Google book search
520 $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.
530 $a Also available in print.
538 $a Mode of access: World Wide Web.
538 $a System requirements: Adobe Acrobat Reader.
588 $a Title from PDF title page (viewed on April 6, 2020).
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
653 $a linked data
653 $a data visualization
653 $a visual analytics
653 $a big data
653 $a visualization tools
653 $a web of data
653 $a semantic web
653 $a data exploration
653 $a information visualization
653 $a usability evaluation
653 $a human-computer interaction
655 0 $a Electronic books. $2 local $3 554714
700 1 $a Bikakis, Nikos $e , $e author. $3 1253167
700 1 $a Desimoni, Federico $e , $e author. $3 1253168
700 1 $a Papastefanatos, George $e , $e author. $3 1253169
776 0 8 $i Print version: $z 9781681737270 $z 9781681737256
830 0 $a Synthesis digital library of engineering and computer science. $3 598254
830 0 $a Synthesis lectures on data, semantics, and knowledge ; $v #19. $3 1253170
856 4 2 $3 Abstract with links to resource $u https://ieeexplore.ieee.org/servlet/opac?bknumber=9048173
856 4 0 $3 Abstract with links to full text $u https://doi.org/10.2200/S00967ED1V01Y201911WBE019