Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Exploiting linked data and knowledge...
~
Pan, Jeff Z.
Exploiting linked data and knowledge graphs in large organisations
Record Type:
Electronic resources : Monograph/item
Title/Author:
Exploiting linked data and knowledge graphs in large organisationsedited by Jeff Z. Pan ... [et al.].
other author:
Pan, Jeff Z.
Published:
Cham :Springer International Publishing :2017.
Description:
xviii, 266 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Knowledge representation (Information theory)
Online resource:
http://dx.doi.org/10.1007/978-3-319-45654-6
ISBN:
9783319456546$q(electronic bk.)
Exploiting linked data and knowledge graphs in large organisations
Exploiting linked data and knowledge graphs in large organisations
[electronic resource] /edited by Jeff Z. Pan ... [et al.]. - Cham :Springer International Publishing :2017. - xviii, 266 p. :ill., digital ;24 cm.
Part I Knowledge Graph Foundations & Architecture -- Part II Constructing, Understanding and Consuming Knowledge Graphs -- Part III Industrial Applications and Successful Stories.
This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. It identifies the gaps between the requirements of enterprise knowledge consumption and "standard" data consuming technologies by analysing real-world use cases, and proposes the enterprise knowledge graph to fill such gaps. It provides concrete guidelines for effectively deploying linked-data graphs within and across business organizations. It is divided into three parts, focusing on the key technologies for constructing, understanding and employing knowledge graphs. Part 1 introduces basic background information and technologies, and presents a simple architecture to elucidate the main phases and tasks required during the lifecycle of knowledge graphs. Part 2 focuses on technical aspects; it starts with state-of-the art knowledge-graph construction approaches, and then discusses exploration and exploitation techniques as well as advanced question-answering topics concerning knowledge graphs. Lastly, Part 3 demonstrates examples of successful knowledge graph applications in the media industry, healthcare and cultural heritage, and offers conclusions and future visions.
ISBN: 9783319456546$q(electronic bk.)
Standard No.: 10.1007/978-3-319-45654-6doiSubjects--Topical Terms:
226484
Knowledge representation (Information theory)
LC Class. No.: Q387 / .E97 2017
Dewey Class. No.: 006.332
Exploiting linked data and knowledge graphs in large organisations
LDR
:02411nmm a2200325 a 4500
001
507210
003
DE-He213
005
20170202153118.0
006
m d
007
cr nn 008maaau
008
171030s2017 gw s 0 eng d
020
$a
9783319456546$q(electronic bk.)
020
$a
9783319456522$q(paper)
024
7
$a
10.1007/978-3-319-45654-6
$2
doi
035
$a
978-3-319-45654-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q387
$b
.E97 2017
072
7
$a
UYQ
$2
bicssc
072
7
$a
TJFM1
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
082
0 4
$a
006.332
$2
23
090
$a
Q387
$b
.E96 2017
245
0 0
$a
Exploiting linked data and knowledge graphs in large organisations
$h
[electronic resource] /
$c
edited by Jeff Z. Pan ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2017.
300
$a
xviii, 266 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Part I Knowledge Graph Foundations & Architecture -- Part II Constructing, Understanding and Consuming Knowledge Graphs -- Part III Industrial Applications and Successful Stories.
520
$a
This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. It identifies the gaps between the requirements of enterprise knowledge consumption and "standard" data consuming technologies by analysing real-world use cases, and proposes the enterprise knowledge graph to fill such gaps. It provides concrete guidelines for effectively deploying linked-data graphs within and across business organizations. It is divided into three parts, focusing on the key technologies for constructing, understanding and employing knowledge graphs. Part 1 introduces basic background information and technologies, and presents a simple architecture to elucidate the main phases and tasks required during the lifecycle of knowledge graphs. Part 2 focuses on technical aspects; it starts with state-of-the art knowledge-graph construction approaches, and then discusses exploration and exploitation techniques as well as advanced question-answering topics concerning knowledge graphs. Lastly, Part 3 demonstrates examples of successful knowledge graph applications in the media industry, healthcare and cultural heritage, and offers conclusions and future visions.
650
0
$a
Knowledge representation (Information theory)
$3
226484
650
0
$a
Linked data.
$3
683691
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
252959
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
275288
650
2 4
$a
Information Systems Applications (incl. Internet)
$3
530743
650
2 4
$a
Business Information Systems.
$3
274346
700
1
$a
Pan, Jeff Z.
$3
567176
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-45654-6
950
$a
Computer Science (Springer-11645)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000138145
電子館藏
1圖書
電子書
EB Q387 E96 2017
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-3-319-45654-6
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login