Finding	
  and	
  Exploring	
  
Commonali0es	
  
between	
  Researchers	
  Using	
  the	
  
ResXplorer	
  
HCII2014,	
  Cr...
Mo0va0on	
  and	
  Challenges	
  
•  Vast	
  of	
  scien0fic	
  publica0ons	
  available	
  online	
  
–  proprietary	
  in...
Goals	
  
Make	
  the	
  most	
  of	
  the	
  wealth	
  of	
  resources	
  for	
  
research:	
  through	
  rela0ng	
  and	...
Alignment	
  Concept	
  
Finding	
  Commonali0es	
  
•  Real-­‐0me	
  keyword	
  disambigua0on	
  of	
  entry	
  results	
  
•  Finding	
  	
  rela...
ResXplorer	
  
•  “ResXplorer”	
  is	
  aggregated	
  interface	
  for	
  search	
  and	
  
explora0on	
  of	
  the	
  und...
Evalua0on	
  
Back-­‐End	
  Evalua0on	
  
Measure	
  
Links discovered along traversing path of algorithm which lead to scientific resources
(publications, persons ...
0	
  
5	
  
10	
  
15	
  
20	
  
25	
  
30	
  
35	
  
40	
  
0,00	
  
0,10	
  
0,20	
  
0,30	
  
0,40	
  
0,50	
  
0,60	
 ...
0	
  
2	
  
4	
  
6	
  
8	
  
10	
  
12	
  
14	
  
16	
  
18	
  
20	
  
22	
  
24	
  
26	
  
28	
  
30	
  
32	
  
34	
  
3...
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	...
0	
  
5	
  
10	
  
15	
  
20	
  
25	
  
30	
  
35	
  
40	
  
0	
  
1	
  
2	
  
3	
  
4	
  
5	
  
Q1	
   Q2	
   Q3	
   Q4	
...
Front-­‐End	
  Evalua0on	
  
•  TAM	
  Model	
  (Davis	
  1985)	
  	
  
– perceived	
  usefulness	
  
•  Short	
  Survey	
...
Front-­‐End	
  Evalua0on	
  
Conclusions	
  
•  ResXplorer	
  allows	
  researchers	
  to	
  interac0vely	
  explore	
  
rela0ons	
  between	
  the	
  ...
Related	
  Work	
  
•  SoEic,	
  Selver;	
  Ebner,	
  Mar0n;	
  De	
  Vocht,	
  Laurens,	
  Mannens,	
  Erik,	
  Van	
  de...
Finding and Exploring Commonalities between Researchers Using the ResXplorer
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Finding and Exploring Commonalities between Researchers Using the ResXplorer

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Finding and Exploring Commonalities between Researchers Using the ResXplorer

  1. 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. 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. 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. 4. Alignment  Concept  
  5. 5. 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  
  6. 6. 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
  7. 7. Evalua0on  
  8. 8. Back-­‐End  Evalua0on  
  9. 9. 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.
  10. 10. 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  
  11. 11. 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  
  12. 12. 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  
  13. 13. 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  
  14. 14. 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)  
  15. 15. Front-­‐End  Evalua0on  
  16. 16. 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  
  17. 17. 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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