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
到查詢結果
[ subject:"Semantic computing." ]
切換:
標籤
|
MARC模式
|
ISBD
Computational intelligence for seman...
~
Acampora, Giovanni.
FindBook
Google Book
Amazon
博客來
Computational intelligence for semantic knowledge management = new perspectives for designing and organizing information systems /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Computational intelligence for semantic knowledge management/ edited by Giovanni Acampora ... [et al.].
其他題名:
new perspectives for designing and organizing information systems /
其他作者:
Acampora, Giovanni.
出版者:
Cham :Springer International Publishing : : 2020.,
面頁冊數:
xviii, 135 p. :ill. (some col.), digital ;24 cm.
內容註:
Natural Noise Management in Recommender Systems using Fuzzy Tools -- Combining Collaborative Filtering and Semantic-based Techniques to Recommend Components for Mashup Design -- Semantic Maps for Knowledge Management of Web and Social Information -- A Study on Local Search Meta-heuristics for Ontology Alignment -- Decision Tree Based Single Person Gesture Recognition -- Modified Type-2 Fuzzy Gesture Space Induced Physical Disorder Recognition -- Performance Analysis.
Contained By:
Springer eBooks
標題:
Computational intelligence. -
電子資源:
https://doi.org/10.1007/978-3-030-23760-8
ISBN:
9783030237608
Computational intelligence for semantic knowledge management = new perspectives for designing and organizing information systems /
Computational intelligence for semantic knowledge management
new perspectives for designing and organizing information systems /[electronic resource] :edited by Giovanni Acampora ... [et al.]. - Cham :Springer International Publishing :2020. - xviii, 135 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.8371860-949X ;. - Studies in computational intelligence ;v.837..
Natural Noise Management in Recommender Systems using Fuzzy Tools -- Combining Collaborative Filtering and Semantic-based Techniques to Recommend Components for Mashup Design -- Semantic Maps for Knowledge Management of Web and Social Information -- A Study on Local Search Meta-heuristics for Ontology Alignment -- Decision Tree Based Single Person Gesture Recognition -- Modified Type-2 Fuzzy Gesture Space Induced Physical Disorder Recognition -- Performance Analysis.
This book provides a comprehensive overview of computational intelligence methods for semantic knowledge management. Contrary to popular belief, the methods for semantic management of information were created several decades ago, long before the birth of the Internet. In fact, it was back in 1945 when Vannevar Bush introduced the idea for the first protohypertext: the MEMEX (MEMory + indEX) machine. In the years that followed, Bush's idea influenced the development of early hypertext systems until, in the 1980s, Tim Berners Lee developed the idea of the World Wide Web (WWW) as it is known today. From then on, there was an exponential growth in research and industrial activities related to the semantic management of the information and its exploitation in different application domains, such as healthcare, e-learning and energy management. However, semantics methods are not yet able to address some of the problems that naturally characterize knowledge management, such as the vagueness and uncertainty of information. This book reveals how computational intelligence methodologies, due to their natural inclination to deal with imprecision and partial truth, are opening new positive scenarios for designing innovative semantic knowledge management architectures.
ISBN: 9783030237608
Standard No.: 10.1007/978-3-030-23760-8doiSubjects--Topical Terms:
595739
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Computational intelligence for semantic knowledge management = new perspectives for designing and organizing information systems /
LDR
:02898nmm a2200337 a 4500
001
2213666
003
DE-He213
005
20200219113846.0
006
m d
007
cr nn 008maaau
008
201117s2020 sz s 0 eng d
020
$a
9783030237608
$q
(electronic bk.)
020
$a
9783030237585
$q
(paper)
024
7
$a
10.1007/978-3-030-23760-8
$2
doi
035
$a
978-3-030-23760-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q342
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
090
$a
Q342
$b
.C738 2020
245
0 0
$a
Computational intelligence for semantic knowledge management
$h
[electronic resource] :
$b
new perspectives for designing and organizing information systems /
$c
edited by Giovanni Acampora ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
xviii, 135 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Studies in computational intelligence,
$x
1860-949X ;
$v
v.837
505
0
$a
Natural Noise Management in Recommender Systems using Fuzzy Tools -- Combining Collaborative Filtering and Semantic-based Techniques to Recommend Components for Mashup Design -- Semantic Maps for Knowledge Management of Web and Social Information -- A Study on Local Search Meta-heuristics for Ontology Alignment -- Decision Tree Based Single Person Gesture Recognition -- Modified Type-2 Fuzzy Gesture Space Induced Physical Disorder Recognition -- Performance Analysis.
520
$a
This book provides a comprehensive overview of computational intelligence methods for semantic knowledge management. Contrary to popular belief, the methods for semantic management of information were created several decades ago, long before the birth of the Internet. In fact, it was back in 1945 when Vannevar Bush introduced the idea for the first protohypertext: the MEMEX (MEMory + indEX) machine. In the years that followed, Bush's idea influenced the development of early hypertext systems until, in the 1980s, Tim Berners Lee developed the idea of the World Wide Web (WWW) as it is known today. From then on, there was an exponential growth in research and industrial activities related to the semantic management of the information and its exploitation in different application domains, such as healthcare, e-learning and energy management. However, semantics methods are not yet able to address some of the problems that naturally characterize knowledge management, such as the vagueness and uncertainty of information. This book reveals how computational intelligence methodologies, due to their natural inclination to deal with imprecision and partial truth, are opening new positive scenarios for designing innovative semantic knowledge management architectures.
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
Artificial Intelligence.
$3
769149
700
1
$a
Acampora, Giovanni.
$3
3443359
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
Studies in computational intelligence ;
$v
v.837.
$3
3443360
856
4 0
$u
https://doi.org/10.1007/978-3-030-23760-8
950
$a
Intelligent Technologies and Robotics (Springer-42732)
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
W9388579
電子資源
11.線上閱覽_V
電子書
EB Q342
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