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在“
Elsevier电子期刊
”中,
命中:
2,515
条,耗时:0.0499773 秒
在所有数据库中总计命中:
6,377
条
1.
MMKG: An approach to generate metallic materials
knowledge
graph
based on DBpedia and Wikipedia
作者:
Xiaoming Zhang
a
;
zxmhebust@163.com
;
Xin Liu
b
;
liuxin_ustb@163.com
;
Xin Li
a
;
lixin19890906@163.com
;
Dongyu Pan
a
;
pdyhebust@163.com
关键词:
DBpedia
;
Wikipedia
;
Metallic materials
;
Knowledge
graph
刊名:Computer Physics Communications
出版年:2017
2.
An extended hierarchical
graph
-based building model for design and engineering problems
作者:
Grażyna Ślusarczyk
;
Andrzej Łachwa
;
Wojciech Palacz
;
Barbara Strug
;
Anna Paszyńska
;
Ewa Grabska
关键词:
Attributed
graph
models
;
Hierarchical
graph
s
;
Knowledge
-based systems
刊名:Automation in Construction
出版年:2017
3.
Forward backward similarity search in
knowledge
networks
作者:
Baoxu Shi
a
;
bshi@nd.edu
;
Lin Yang
b
;
lyang5@nd.edu
;
Tim Weninger
;
c
;
tweninge@nd.edu
关键词:
Knowledge
graph
;
Similarity measures
;
Graph
search
刊名:
Knowledge
-Based Systems
出版年:2017
4.
Causal Mechanism
Graph
─ A new notation for capturing cause-effect
knowledge
in software dependability
作者:
Fuqun Huang
;
huang.2315@osu.edu
;
Carol Smidts
smidts.1@osu.edu
关键词:
Causal mechanism
;
Software dependability
;
Causal mechanism
graph
;
Dependability assessment
;
Expert opinion elicitation
;
Cognitive map
刊名:Reliability Engineering & System Safety
出版年:2017
5.
An investigation on
Graph
ical Abstracts use in scholarly articles
作者:
JungWon Yoon
a
;
jyoon@usf.edu
;
EunKyung Chung
b
;
echung@ewha.ac.kr
关键词:
Graph
ical abstracts
;
Scholarly communication
;
Visualization of
knowledge
刊名:International Journal of Information Management
出版年:2017
6.
Introducing linked open data in
graph
-based recommender systems
作者:
Cataldo Musto
;
cataldo.musto@uniba.it
;
Pierpaolo Basile
pierpaolo.basile@uniba.it
;
Pasquale Lops
pasquale.lops@uniba.it
;
Marco de Gemmis
marco.degemmis@uniba.it
;
Giovanni Semeraro
giovanni.semeraro@uniba.it
关键词:
Recommender systems
;
PageRank
;
Graph
s
;
Linked open data
;
Feature selection
;
Diversity
刊名:Information Processing & Management
出版年:2017
7.
Using
graph
clustering to locate sources within a dense sensor array
作者:
Nima Riahi
;
nriahi@ucsd.edu" class="auth_mail" title="E-mail the corresponding author
;
Peter Gerstoft
gerstoft@ucsd.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Seismic arrays
;
Source localization
;
Graph
clustering
;
Non-parametric estimation
刊名:Signal Processing
出版年:2017
8.
Poly (3,4-ethylenedioxythiophene)
graph
ene oxide composite coatings for controlling magnesium implant corrosion
作者:
Kasey Catt
a
;
Huaxiu Li
a
;
X. Tracy Cui
a
;
b
;
c
;
xic11@pitt.edu
关键词:
Conducting polymer
;
Graph
ene oxide
;
Magnesium
;
Corrosion control
刊名:Acta Biomaterialia
出版年:2017
9.
Dynamic recrystallization behaviour of spheroidal
graph
ite iron. Application to cutting operations
作者:
K. Le Mercier
a
;
c
;
kevin.lemercier@univ-valenciennes.fr" class="auth_mail" title="E-mail the corresponding author
;
M. Watremez
a
;
c
;
E.S. Puchi-Cabrera
a
;
c
;
L. Dubar
a
;
c
;
J.D. Gué
;
rin
a
;
c
;
L. Fouilland-Paillé
;
b
;
c
关键词:
SG iron
;
Hot cutting
;
Dynamic recrystallization
;
Finite element modelling
刊名:Journal of Materials Processing Technology
出版年:2017
10.
Causal discovery in the geosciences—Using synthetic data to learn how to interpret results
作者:
Imme Ebert-Uphoff
a
;
iebert@engr.colostate.edu
;
Yi Deng
b
;
yi.deng@eas.gatech.edu
关键词:
Probabilistic
graph
ical model
;
Structure learning
;
Causal discovery
;
Information flow
;
Geoscience
;
Climate
;
Atmospheric science
刊名:Computers & Geosciences
出版年:2017
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