1. Finding
and
Exploring
Commonali0es
between
Researchers
Using
the
ResXplorer
HCII2014,
Crete,
Greece
Selver
SoEic,
Laurens
De
Vocht,
Mar0n
Ebner,
Erik
Mannens,
Rik
Van
de
Walle

2. Mo0va0on
and
Challenges
• Vast
of
scien0fic
publica0ons
available
online
– proprietary
interfaces
with
poor
context
overview
– costs
for
full
access
required
• Researchers
– use
Social
Media
to
communicate
about
their
work
–
have
interests
on
events,
persons
and
resources
from
research
related
to
them
• Digital
publica0on
archives
available
as
Linked
Data
• Lack
of
analy0c
services
and
adequate
visualiza0ons

3. Goals
Make
the
most
of
the
wealth
of
resources
for
research:
through
rela0ng
and
aligning
scholar
profiles
with
the
online
available
resources,
publica0ons,
and
other
scholar's
profiles.
Provide
a
interface
for
visual
explora0on
and
search
based
upon
commonali0es
derived
from
this
alignment

4. Alignment
Concept

6. Finding
Commonali0es
• Real-­‐0me
keyword
disambigua0on
of
entry
results
• Finding
rela0ons
between
the
entered
keywords
through
the
EiCE
• Addi0onally
enhancement
– social
media
profile
as
search
entry
point
– Expansion
of
results
over
radial
interface

7. ResXplorer
• “ResXplorer”
is
aggregated
interface
for
search
and
explora0on
of
the
underlying
Linked
Data
Knowledge
Base
• Radial
Interface
with
clickable
en00es
differing
through
color,
size
and
shape
• Resides
on
EiCE
Engine
(
our
prior
work
on
path
finding
between
resources
in
seman0c
en0ty
graphs)
• Interface
adapts
the
explora0on
state
and
focused
en0ty
is
always
central.
The
distance
and
posi0on
of
other
en00es
is
defined
by
affinity
ranking
algorithm.
http://www.resxplorer.org

8. Evalua0on

9. Back-­‐End
Evalua0on

10. Measure
Links discovered along traversing path of algorithm which lead to scientific resources
(publications, persons and events) relevant for one of the both authors represent true
positives.

11. 0
5
10
15
20
25
30
35
40
0,00
0,10
0,20
0,30
0,40
0,50
0,60
0,70
0,80
0,90
1,00
Q1
Q2
Q3
Q4
Q5
Q6
Q7
Q8
Q9
Q10
Precision
#
Commonali0es
Precision
vs.
#Commonali0es

12. 0
2
4
6
8
10
12
14
16
18
20
22
24
26
28
30
32
34
36
38
40
Q1
Q2
Q3
Q4
Q5
Q6
Q7
Q8
Q9
Q10
#
Commonali0es
#
TP
Commonali0es
#
FP
Commonali0es
#Commonali0es
vs.
#TP
vs.
#FP

13. 0
1
2
3
4
5
0,00
0,10
0,20
0,30
0,40
0,50
0,60
0,70
0,80
0,90
1,00
Q1
Q2
Q3
Q4
Q5
Q6
Q7
Q8
Q9
Q10
Precision
Path
length
Precision
vs.
Pathlength

14. 0
5
10
15
20
25
30
35
40
0
1
2
3
4
5
Q1
Q2
Q3
Q4
Q5
Q6
Q7
Q8
Q9
Q10
Path
length
#
Commonali0es
Pathlength
vs.
#Commonali0es

15. Front-­‐End
Evalua0on
• TAM
Model
(Davis
1985)
– perceived
usefulness
• Short
Survey
with
31
researcher
– all
from
computer
science
domain
• Likert
Scala:
strongly
agree
(5)
–
strongly
disagree
(1)

16. Front-­‐End
Evalua0on

17. Conclusions
• ResXplorer
allows
researchers
to
interac0vely
explore
rela0ons
between
the
resources
and
en00es
like
events,
places,
publica0ons
or
persons
related
to
their
work
and
discover
commonali0es
between
them
• Finding
commonali0es
tends
to
reach
high
precision
which
does
not
depend
from
the
length
of
search
path,
and
the
count
of
found
commonality
links
• ResXplorer
interface
is
according
to
“percieved
usefullness”
survey
made
with
target
users
meant
primarily
to
explore
rela0on
between
research
en00es

18. Related
Work
• SoEic,
Selver;
Ebner,
Mar0n;
De
Vocht,
Laurens,
Mannens,
Erik,
Van
de
Walle,
Rik,,A
Framework
Concept
for
Profiling
Researchers
on
Twiker
using
the
Web
of
Data,9th
Interna0onal
Conference
on
Web
Informa0on
Systems
and
Technologies,
pp.
447
-­‐
452,
Aachen,
Germany,
2013
• De
Vocht,
Laurens,
SoEic,
Selver,
Ebner,
Mar0n,
Mühlburger,
Herbert,
,Seman0cally
driven
social
data
aggrega0on
interfaces
for
Research
2.0,Proceedings
of
the
11th
Interna0onal
Conference
on
Knowledge
Management
and
Knowledge
Technologies,,Ar0cle
43,1-­‐9,2011
• De
Vocht,
L.,
Coppens,
S.,
Verborgh,
R.,
Vander
Sande,
M.,
Mannens,
E.,
&
Van
de
Walle,
R.
(2013).
Discovering
meaningful
connec0ons
between
resources
in
the
web
of
data.
6th
Workshop
on
Linked
Data
on
the
Web,
Proceedings.
Presented
at
the
6th
Workshop
on
Linked
Data
on
the
Web.
• De
Vocht,
Laurens,
SoEic,
Selver,
Mannens,
Erik,
Van
de
Walle,
Rik,
Ebner,
Mar0n,
A
Search
Interface
for
Researchers
to
Explore
Affini0es
in
a
Linked
Data
Knowledge
Base,The
12th
Interna0onal
Seman0c
Web
Conference
(ISWC
2013),Posters
and
Demo
Session,2013,CEUR-­‐WS
• De
Vocht
L.,
SoEic
S.,
Mannens
E.,
Van
de
Walle
R.,
Ebner
M.,
ResXplorer:
Interac0ve
Search
for
Rela0onships
in
Research
Repositories,
Seman0c
Web
Challenge,
part
of
the
12th
Interna0onal
Seman0c
Web
Conference,
Sydney,Australia
2013
• De
Vocht
L.,
SoEic
S.,
Mannens
E.,
Van
der
Walle
R.,
Ebner
M.,
Aligning
Web
Collabora0on
Tools
with
Research
Data
for
Scholars,
Proceedings
of
the
Bigscholar
Workshop
on
World
Wide
Web
conference
2014
(WWW2014),
pp.1203-­‐1208,
Seoul,
Korea,
2014.
• De
Vocht
L.,
SoEic
S.,
Mannens
E.,
Van
der
Walle
R.,
Ebner
M.,
Finding
Useful
Resources
for
Researchers
within
the
Web
of
Data,
Journal
of
Web
Seman0cs,
Special
Issue
on
Seman0c
Search,
2014.