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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	
  
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	
  
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	
  
Alignment	
  Concept	
  
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	
  
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
Evalua0on	
  
Back-­‐End	
  Evalua0on	
  
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.
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	
  
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	
  
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	
  
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	
  
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)	
  
Front-­‐End	
  Evalua0on	
  
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	
  
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.	
  

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Finding and Exploring Commonalities between Researchers Using the ResXplorer

  • 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  
  • 5.
  • 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
  • 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)  
  • 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.