Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Modeling and management of fuzzy sem...
~
Ma, Zongmin.
Linked to FindBook
Google Book
Amazon
博客來
Modeling and management of fuzzy semantic RDF data
Record Type:
Electronic resources : Monograph/item
Title/Author:
Modeling and management of fuzzy semantic RDF data/ by Zongmin Ma, Guanfeng Li, Ruizhe Ma.
Author:
Ma, Zongmin.
other author:
Li, Guanfeng.
Published:
Cham :Springer International Publishing : : 2022.,
Description:
xi, 210 p. :ill., digital ;24 cm.
[NT 15003449]:
RDF Data and Management -- Fuzzy Sets and Fuzzy Database Modeling -- Fuzzy RDF Modeling -- Persistence of Fuzzy RDF and Fuzzy RDF Schema -- Fuzzy RDF Queries.
Contained By:
Springer Nature eBook
Subject:
Database management. -
Online resource:
https://doi.org/10.1007/978-3-031-11669-8
ISBN:
9783031116698
Modeling and management of fuzzy semantic RDF data
Ma, Zongmin.
Modeling and management of fuzzy semantic RDF data
[electronic resource] /by Zongmin Ma, Guanfeng Li, Ruizhe Ma. - Cham :Springer International Publishing :2022. - xi, 210 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 10571860-9503 ;. - Studies in computational intelligence ;v. 1057..
RDF Data and Management -- Fuzzy Sets and Fuzzy Database Modeling -- Fuzzy RDF Modeling -- Persistence of Fuzzy RDF and Fuzzy RDF Schema -- Fuzzy RDF Queries.
This book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data and knowledge intensive applications. With the increasing amount of metadata available, efficient and scalable management of massive semantic data with uncertainty is of crucial importance. This book goes to great depth concerning the fast-growing topic of technologies and approaches of modeling and managing fuzzy metadata with Resource Description Framework (RDF) format. Its major topics include representation of fuzzy RDF data, fuzzy RDF graph matching, query of fuzzy RDF data, and persistence of fuzzy RDF data in diverse databases. The objective of the book is to provide the state-of-the-art information to researchers, practitioners, and postgraduates students who work on the area of big data intelligence and at the same time serve as the uncertain data and knowledge engineering professional as a valuable real-world reference.
ISBN: 9783031116698
Standard No.: 10.1007/978-3-031-11669-8doiSubjects--Topical Terms:
527442
Database management.
LC Class. No.: QA76.9.D3 / M3 2022
Dewey Class. No.: 005.74
Modeling and management of fuzzy semantic RDF data
LDR
:02226nmm a2200337 a 4500
001
2304170
003
DE-He213
005
20220908174634.0
006
m d
007
cr nn 008maaau
008
230409s2022 sz s 0 eng d
020
$a
9783031116698
$q
(electronic bk.)
020
$a
9783031116681
$q
(paper)
024
7
$a
10.1007/978-3-031-11669-8
$2
doi
035
$a
978-3-031-11669-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.D3
$b
M3 2022
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
005.74
$2
23
090
$a
QA76.9.D3
$b
M111 2022
100
1
$a
Ma, Zongmin.
$3
895951
245
1 0
$a
Modeling and management of fuzzy semantic RDF data
$h
[electronic resource] /
$c
by Zongmin Ma, Guanfeng Li, Ruizhe Ma.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2022.
300
$a
xi, 210 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Studies in computational intelligence,
$x
1860-9503 ;
$v
v. 1057
505
0
$a
RDF Data and Management -- Fuzzy Sets and Fuzzy Database Modeling -- Fuzzy RDF Modeling -- Persistence of Fuzzy RDF and Fuzzy RDF Schema -- Fuzzy RDF Queries.
520
$a
This book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data and knowledge intensive applications. With the increasing amount of metadata available, efficient and scalable management of massive semantic data with uncertainty is of crucial importance. This book goes to great depth concerning the fast-growing topic of technologies and approaches of modeling and managing fuzzy metadata with Resource Description Framework (RDF) format. Its major topics include representation of fuzzy RDF data, fuzzy RDF graph matching, query of fuzzy RDF data, and persistence of fuzzy RDF data in diverse databases. The objective of the book is to provide the state-of-the-art information to researchers, practitioners, and postgraduates students who work on the area of big data intelligence and at the same time serve as the uncertain data and knowledge engineering professional as a valuable real-world reference.
650
0
$a
Database management.
$3
527442
650
0
$a
Fuzzy systems.
$3
535881
650
0
$a
RDF (Document markup language)
$3
590005
650
0
$a
Computational intelligence.
$3
595739
650
0
$a
Semantic computing.
$3
1067496
650
1 4
$a
Computational Intelligence.
$3
1001631
650
2 4
$a
Data Engineering.
$3
3409361
650
2 4
$a
Artificial Intelligence.
$3
769149
700
1
$a
Li, Guanfeng.
$3
3606173
700
1
$a
Ma, Ruizhe.
$3
3606174
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Studies in computational intelligence ;
$v
v. 1057.
$3
3606175
856
4 0
$u
https://doi.org/10.1007/978-3-031-11669-8
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
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
W9445719
電子資源
11.線上閱覽_V
電子書
EB QA76.9.D3 M3 2022
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login