Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Reasoning weblogical foundation of k...
~
(1998 :)
Reasoning weblogical foundation of knowledge graph construction and query : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, tutorial lectures /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Reasoning webedited by Jeff Z. Pan ... [et al.].
Reminder of title:
logical foundation of knowledge graph construction and query : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, tutorial lectures /
other author:
Pan, Jeff Z.
corporate name:
Published:
Cham :Springer International Publishing :2017.
Description:
xiv, 259 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Semantic WebCongresses.
Online resource:
http://dx.doi.org/10.1007/978-3-319-49493-7
ISBN:
9783319494937$q(electronic bk.)
Reasoning weblogical foundation of knowledge graph construction and query : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, tutorial lectures /
Reasoning web
logical foundation of knowledge graph construction and query : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, tutorial lectures /[electronic resource] :edited by Jeff Z. Pan ... [et al.]. - Cham :Springer International Publishing :2017. - xiv, 259 p. :ill., digital ;24 cm. - Lecture notes in computer science,98850302-9743 ;. - Lecture notes in computer science ;4891..
Understanding Author Intentions: Test Driven Knowledge Graph Construction -- Inseparability and Conservative Extensions of Description Logic Ontologies: A Survey -- Navigational and Rule-Based Languages for Graph Databases -- LOD Lab: Scalable Linked Data Processing -- Inconsistency-Tolerant Querying of Description Logic Knowledge Bases -- From Fuzzy to Annotated Semantic Web Languages -- Applying Machine Reasoning and Learning in Real World Applications.
This volume contains some lecture notes of the 12th Reasoning Web Summer School (RW 2016), held in Aberdeen, UK, in September 2016. In 2016, the theme of the school was "Logical Foundation of Knowledge Graph Construction and Query Answering". The notion of knowledge graph has become popular since Google started to use it to improve its search engine in 2012. Inspired by the success of Google, knowledge graphs are gaining momentum in the World Wide Web arena. Recent years have witnessed increasing industrial take-ups by other Internet giants, including Facebook's Open Graph and Microsoft's Satori. The aim of the lecture note is to provide a logical foundation for constructing and querying knowledge graphs. Our journey starts from the introduction of Knowledge Graph as well as its history, and the construction of knowledge graphs by considering both explicit and implicit author intentions. The book will then cover various topics, including how to revise and reuse ontologies (schema of knowledge graphs) in a safe way, how to combine navigational queries with basic pattern matching queries for knowledge graph, how to setup a environment to do experiments on knowledge graphs, how to deal with inconsistencies and fuzziness in ontologies and knowledge graphs, and how to combine machine learning and machine reasoning for knowledge graphs.
ISBN: 9783319494937$q(electronic bk.)
Standard No.: 10.1007/978-3-319-49493-7doiSubjects--Topical Terms:
384472
Semantic Web
--Congresses.
LC Class. No.: TK5105.88815
Dewey Class. No.: 005.74
Reasoning weblogical foundation of knowledge graph construction and query : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, tutorial lectures /
LDR
:02976nmm a2200337 a 4500
001
507239
003
DE-He213
005
20170225141142.0
006
m d
007
cr nn 008maaau
008
171030s2017 gw s 0 eng d
020
$a
9783319494937$q(electronic bk.)
020
$a
9783319494920$q(paper)
024
7
$a
10.1007/978-3-319-49493-7
$2
doi
035
$a
978-3-319-49493-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK5105.88815
072
7
$a
UN
$2
bicssc
072
7
$a
UMT
$2
bicssc
072
7
$a
COM021000
$2
bisacsh
082
0 4
$a
005.74
$2
23
090
$a
TK5105.88815
$b
S955 2016
111
2
$n
(3rd :
$d
1998 :
$c
Amsterdam, Netherlands)
$3
194767
245
1 0
$a
Reasoning web
$h
[electronic resource] :
$b
logical foundation of knowledge graph construction and query : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, tutorial lectures /
$c
edited by Jeff Z. Pan ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2017.
300
$a
xiv, 259 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in computer science,
$x
0302-9743 ;
$v
9885
505
0
$a
Understanding Author Intentions: Test Driven Knowledge Graph Construction -- Inseparability and Conservative Extensions of Description Logic Ontologies: A Survey -- Navigational and Rule-Based Languages for Graph Databases -- LOD Lab: Scalable Linked Data Processing -- Inconsistency-Tolerant Querying of Description Logic Knowledge Bases -- From Fuzzy to Annotated Semantic Web Languages -- Applying Machine Reasoning and Learning in Real World Applications.
520
$a
This volume contains some lecture notes of the 12th Reasoning Web Summer School (RW 2016), held in Aberdeen, UK, in September 2016. In 2016, the theme of the school was "Logical Foundation of Knowledge Graph Construction and Query Answering". The notion of knowledge graph has become popular since Google started to use it to improve its search engine in 2012. Inspired by the success of Google, knowledge graphs are gaining momentum in the World Wide Web arena. Recent years have witnessed increasing industrial take-ups by other Internet giants, including Facebook's Open Graph and Microsoft's Satori. The aim of the lecture note is to provide a logical foundation for constructing and querying knowledge graphs. Our journey starts from the introduction of Knowledge Graph as well as its history, and the construction of knowledge graphs by considering both explicit and implicit author intentions. The book will then cover various topics, including how to revise and reuse ontologies (schema of knowledge graphs) in a safe way, how to combine navigational queries with basic pattern matching queries for knowledge graph, how to setup a environment to do experiments on knowledge graphs, how to deal with inconsistencies and fuzziness in ontologies and knowledge graphs, and how to combine machine learning and machine reasoning for knowledge graphs.
650
0
$a
Semantic Web
$v
Congresses.
$3
384472
650
0
$a
Semantic computing
$v
Congresses.
$3
384583
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Database Management.
$3
273994
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
252959
650
2 4
$a
Mathematical Logic and Formal Languages.
$3
275383
650
2 4
$a
Information Storage and Retrieval.
$3
274190
650
2 4
$a
Computer Appl. in Administrative Data Processing.
$3
275283
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
275288
700
1
$a
Pan, Jeff Z.
$3
567176
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Lecture notes in computer science ;
$v
4891.
$3
383229
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-49493-7
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
000000138174
電子館藏
1圖書
電子書
EB TK5105.88815 S955 2017
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-3-319-49493-7
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login