語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Linked data visualization = techniqu...
~
Po, Laura,
FindBook
Google Book
Amazon
博客來
Linked data visualization = techniques, tools, and big data /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Linked data visualization/ Laura Po, Nikos Bikakis, Federico Desimoni, George Papastefanatos.
其他題名:
techniques, tools, and big data /
其他題名:
Techniques, tools, and big data
作者:
Po, Laura,
其他作者:
Bikakis, Nikos,
面頁冊數:
1 online resource (159 p.)
內容註:
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.
標題:
Linked data. -
電子資源:
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 /[electronic resource] :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:
2061950
Linked data.
Index Terms--Genre/Form:
542853
Electronic books.
LC Class. No.: QA76.9.I52
Dewey Class. No.: 001.4
Linked data visualization = techniques, tools, and big data /
LDR
:02929nmm a2200337 a 4500
001
2247707
006
m eo d
007
cr cn |||m|||a
008
211227t20202020cau 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
3512108
245
1 0
$a
Linked data visualization
$h
[electronic resource] :
$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
2061950
650
0
$a
Information visualization.
$3
615673
650
0
$a
Big data.
$3
2045508
650
0
$a
Semantic Web.
$3
572918
655
4
$a
Electronic books.
$2
lcsh
$3
542853
700
1
$a
Bikakis, Nikos,
$e
author.
$3
3512109
700
1
$a
Desimoni, Federico,
$e
author.
$3
3512110
700
1
$a
Papastefanatos, George,
$e
author.
$3
3512111
700
1
$a
Ding, Ying,
$e
editor.
$3
3512112
700
1
$a
Groth, Paul,
$e
editor.
$3
3512113
830
0
$a
Synthesis lectures on data, semantics, and knowledge ;
$v
19.
$3
3512114
856
4 0
$u
https://portal.igpublish.com/iglibrary/search/MCPB0006529.html
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9407642
電子資源
11.線上閱覽_V
電子書
EB QA76.9.I52
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入