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Concerta)on	
  mee)ng,	
  Brussels,	
  25	
  June	
  2014	
   Y.	
  Kompatsiaris	
  
CERTH-­‐ITI,	
  SocialSensor	
  
Visi...
Concerta)on	
  mee)ng,	
  Brussels,	
  25	
  June	
  2014	
   Y.	
  Kompatsiaris	
  
CERTH-­‐ITI,	
  SocialSensor	
  
hEp:...
Concerta)on	
  mee)ng,	
  Brussels,	
  25	
  June	
  2014	
   Y.	
  Kompatsiaris	
  
CERTH-­‐ITI,	
  SocialSensor	
  
Comb...
Concerta)on	
  mee)ng,	
  Brussels,	
  25	
  June	
  2014	
   Y.	
  Kompatsiaris	
  
CERTH-­‐ITI,	
  SocialSensor	
  
Comb...
Concerta)on	
  mee)ng,	
  Brussels,	
  25	
  June	
  2014	
   Y.	
  Kompatsiaris	
  
CERTH-­‐ITI,	
  SocialSensor	
  
Exam...
Concerta)on	
  mee)ng,	
  Brussels,	
  25	
  June	
  2014	
   Y.	
  Kompatsiaris	
  
CERTH-­‐ITI,	
  SocialSensor	
  
Exam...
Concerta)on	
  mee)ng,	
  Brussels,	
  25	
  June	
  2014	
   Y.	
  Kompatsiaris	
  
CERTH-­‐ITI,	
  SocialSensor	
  
Craw...
Concerta)on	
  mee)ng,	
  Brussels,	
  25	
  June	
  2014	
   Y.	
  Kompatsiaris	
  
CERTH-­‐ITI,	
  SocialSensor	
  
Chal...
Concerta)on	
  mee)ng,	
  Brussels,	
  25	
  June	
  2014	
   Y.	
  Kompatsiaris	
  
CERTH-­‐ITI,	
  SocialSensor	
  
Poli...
Concerta)on	
  mee)ng,	
  Brussels,	
  25	
  June	
  2014	
   Y.	
  Kompatsiaris	
  
CERTH-­‐ITI,	
  SocialSensor	
  
Visi...
Concerta)on	
  mee)ng,	
  Brussels,	
  25	
  June	
  2014	
   Y.	
  Kompatsiaris	
  
CERTH-­‐ITI,	
  SocialSensor	
  
Visi...
Concerta)on	
  mee)ng,	
  Brussels,	
  25	
  June	
  2014	
   Y.	
  Kompatsiaris	
  
CERTH-­‐ITI,	
  SocialSensor	
  
Visi...
Concerta)on	
  mee)ng,	
  Brussels,	
  25	
  June	
  2014	
   Y.	
  Kompatsiaris	
  
CERTH-­‐ITI,	
  SocialSensor	
  
Summ...
Concerta)on	
  mee)ng,	
  Brussels,	
  25	
  June	
  2014	
   Y.	
  Kompatsiaris	
  
CERTH-­‐ITI,	
  SocialSensor	
  
Euro...
Thank	
  you	
  for	
  your	
  aEen8on!	
  
ikom@i8.gr	
  
hEp://mklab.i8.gr	
  	
  
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Vision about Social Networks Content Exploitation (EC Concertation meeting)

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Vision about Social Networks and other types of Content exploitation presented in G1 unit concertation meeting in Brussels, June 25th 2014.

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Vision about Social Networks Content Exploitation (EC Concertation meeting)

  1. 1. Concerta)on  mee)ng,  Brussels,  25  June  2014   Y.  Kompatsiaris   CERTH-­‐ITI,  SocialSensor   Vision  about  Content  Exploita)on   Yiannis  Kompatsiaris  (CERTH-­‐ITI)     Concerta8on  mee8ng,  Brussels,  25  June  2014  
  2. 2. Concerta)on  mee)ng,  Brussels,  25  June  2014   Y.  Kompatsiaris   CERTH-­‐ITI,  SocialSensor   hEp://www.puzzlemarketer.com/digital-­‐social-­‐brands-­‐in-­‐60-­‐seconds/    (Apr,  2012)  
  3. 3. Concerta)on  mee)ng,  Brussels,  25  June  2014   Y.  Kompatsiaris   CERTH-­‐ITI,  SocialSensor   Combining  various  types  of  content  (1/2)   •  AV  content  (movies,  TV,  YouTube,   visual  ambient  sensors)  con8nues  to  be   a  major  source  of  informa8on  and   entertainment   •  Social  Media  (UCG)  have  an  extremely   dynamic  nature  that  reflects  the   evolu8on  of  community  focus  (user’s   interests)   –  When  aggregated  allows  the  detec8on  of   meaningful  topics,  events,  points  of   interest,  emo8onal  states  and  social   connec8ons   •  Sensors  in  smartphones  and  wearable   devices  provide  personal,  real-­‐8me  and   loca8on-­‐based  user  feedback   •  Addi8onal  sources  (e.g.  Open  Data)  
  4. 4. Concerta)on  mee)ng,  Brussels,  25  June  2014   Y.  Kompatsiaris   CERTH-­‐ITI,  SocialSensor   Combining  various  types  of  content  (2/2)   •  In  most  exis8ng  R&D  approaches   and  applica8ons  each  type  is   considered  separately  or  with   limited  interac8on   •  Analyze  each  content  type  in  order   to  reach  a  common  representa8on   level  (user,  seman8cs,  context   related)  and  then  correlate  the   various  sources  in  real-­‐)me   •  Present  the  result  in  an  effec8ve   and  engaging  way  for  a  variety  of   applica8ons  for  personal   consump)on  and  decision  making  
  5. 5. Concerta)on  mee)ng,  Brussels,  25  June  2014   Y.  Kompatsiaris   CERTH-­‐ITI,  SocialSensor   Example:  Capturing  urban  dynamics  through…   Analysis,  Correla)on,  Presenta)on  and   Visualiza)on   •  Informa8on  in  real-­‐8me  back  to  the  content   producers  (e.g.  News)  and  ci8zens   •  Decision  Making  for  the  authori8es   •  Linking  to  Open  Data   2    Social  Media  and  UGC   •  Discover areas, POIs and events as “seen” by aggregation of social users contribution •  Issues directly reported by citizens in mobile apps www.clusttour.gr 1 AV Content •  TV, radio, newspapers, YouTube videos monitoring for local – city issues   lganalytics.mklab.iti.gr 3    Ambient  and  personal-­‐wearable  sensors   •  Extract “knowledge” about urban rhythms and locations, patterns of activity
  6. 6. Concerta)on  mee)ng,  Brussels,  25  June  2014   Y.  Kompatsiaris   CERTH-­‐ITI,  SocialSensor   Example:  Predic)on  of  elec)on  results     •  Based  on  (i)  Social  media  (TwiEer  sen8ment  volume)   and  (ii)  polls   •  Close-­‐to-­‐exit  poll  accuracy   can  be  achieved.  It  also   predicted  the  percentage  of   the  first  party  with  the   greatest  accuracy   •  AV  content  analysis  and   correla8on  could  further   improve  the  results   •  Extension  to  real-­‐8me   monitoring  -­‐  predic8on   •  Reduced  cost  for  an  exis8ng   product  with  a  strong   demand    http://www.socialsensor.eu/news/133-sensing-social-media-to-predict-eu-elections
  7. 7. Concerta)on  mee)ng,  Brussels,  25  June  2014   Y.  Kompatsiaris   CERTH-­‐ITI,  SocialSensor   Crawling  OSN-­‐UGC   Sensors   AV  Content   CONTENT   Fusion   Near-­‐duplicates   Text/AV  Indexing   INDEXING   Open  Data   SNA   Sen)ment  -­‐  Influence   Trends  -­‐  Topics   MINING   Model  Building   Concepts   Relevance   Diversity   Popularity   RETRIEVAL&RANKING   Veracity   Interac)on   Responsiveness     Aggrega)on   VISUALIZATION   Aesthe)cs   Correla)on  detec)on   Consump)on    Decision  Support  –  Recommenda)on,  …   Infrastructure  
  8. 8. Concerta)on  mee)ng,  Brussels,  25  June  2014   Y.  Kompatsiaris   CERTH-­‐ITI,  SocialSensor   Challenges  –  Content  (Mining)   •  Mul)-­‐modality:  e.g.  image  +  tags,  videos   •  Heterogeneous  sensors  and  content:  web  (inc  social   media),  TV,  cell  phones,  wearable  sensors,  cameras   •  Rich  social  context:  spa8o-­‐temporal,  social  connec8ons,   rela8ons  and  social  graph   •  Inconsistent  quality:  noise,  spam,  ambiguity,  fake,   propaganda,  complementary  &  contradictory  content   •  Huge  volume:  Massively  produced  and  disseminated   •  Dynamic:  Fast  updates,  real-­‐8me   •  Mul)-­‐source:  may  be  generated  by  different  applica8ons   and  user  communi8es  and  connected  to  other  sources   (e.g.  LOD)  
  9. 9. Concerta)on  mee)ng,  Brussels,  25  June  2014   Y.  Kompatsiaris   CERTH-­‐ITI,  SocialSensor   Policy  –  Licensing  –  Legal  challenges   (Social  Media)   •   Fragmented  access  to  data   –  Separate  wrappers/APIs  for  each  source  (TwiEer,  Facebook,  etc.)   –  Different  data  collec8on/crawling  policies   •   Limita8ons  imposed  by  API  providers  (“Walled  Gardens”)   •  Full  access  to  data  impossible  or  extremely  expensive  (e.g.  see  data    licensing  plans  for  GNIP  and  DataSij   •  Non-­‐transparent  data  access  prac8ces  (e.g.  access  is  provided  to  an    organiza8on/person  if  they  have  a  contact  in  TwiEer)     •   Constant  change  of  model  and  ToS  of  social  APIs   –  No  backwards  compa8bility,  addi8onal  development  costs   •   Ephemeral  nature  of  content   •  Social  search  results  ojen  lead  to  removed  content  à  inconsistent    and  unreliable  referencing   •   User  Privacy  &  Purpose  of  use   •  Fuzzy  regulatory  framework  regarding  mining  user-­‐contributed  data
  10. 10. Concerta)on  mee)ng,  Brussels,  25  June  2014   Y.  Kompatsiaris   CERTH-­‐ITI,  SocialSensor   Vision  –  future  direc)ons  (1/3)   Policies  -­‐  Infrastructure   •  Data  accessibility   –  EC  can  work  towards  opening  of  “walled  gardens”  and   more  open  data  policies   –  Standards  for  sensor/wearable  devices  data  access   –  Technology  or  other  innova8ve  methods  be  used  to  make   data  more  accessible  to  society  at  large   •  Privacy,  security  and  value  of  personal  data   •  Infrastructure   –  Large-­‐scale  and  real-­‐8me  data  analy8cs  create   requirements  for  cloud  and  common  EU  infrastructure   –  E.g.  EC  organiza8on  providing  access  to  social  media  data    
  11. 11. Concerta)on  mee)ng,  Brussels,  25  June  2014   Y.  Kompatsiaris   CERTH-­‐ITI,  SocialSensor   Vision  –  future  direc)ons  (2/3)   Research  and  Development   •  Indexing,  Mining  and  Retrieval   –  Real-­‐8me  and  scalable  approaches   •  Efficiency  of  seman8cs  and  analysis  vs.  performance  vs.  infrastructure   –  Fusion  of  various  modali8es   •  Content,  social,  temporal,  loca8on   •  Mul8modal  search  and  clustering   –  Verifica8on  &  Linking  to  other  sources  (web,  Linked  Open  Data)   –  Content  correla8on  and  cross-­‐valida8on   •  Contradictory,  complementary  and  duplicate  content   •  Unreliable,  fake  content   •  Visualiza8on  and  User  Interac8on   –  Data  visualisa8on  and  storytelling  can  be  used  to  increase  our   understanding  of  data   •  Beyond  “direct”  personaliza8on   –  Mobile  Devices  and  applica8ons   –  Augmented  Reality  can  be  used  to  mix  the  real  with  the  digital  world   and  combine  live  with  legacy  data      
  12. 12. Concerta)on  mee)ng,  Brussels,  25  June  2014   Y.  Kompatsiaris   CERTH-­‐ITI,  SocialSensor   Vision  –  future  direc)ons  (3/3)   Consump)on  -­‐  Applica)ons   •  Decision  support   –  Inference/Predic)on   •  in  real-­‐8me,  beyond  current  and  past  insights   –  Visualisa8on-­‐assisted   –  Summarisa8on   •  New  applica8ons   –  Large  scale  mul8modal  analysis,  retrieval  and  interac8on  in   •  Smart  Ci)es  and  well  being  (linking  with  Open  Data)   •  Environmental  monitoring,  forensics   •  Health  data,  epidemics  and  disaster  monitoring   •  Impact  –  Innova8on   –  Business  models  and  strategies  for  profitable  commercial   services  
  13. 13. Concerta)on  mee)ng,  Brussels,  25  June  2014   Y.  Kompatsiaris   CERTH-­‐ITI,  SocialSensor   Summary  of  future  direc)ons   •  Develop  approaches  that  take  into  account  all  types   of  available  content   –  Efficient  analy8cs,  linking  and  correla8on   •  Scalability,  mul8-­‐modality,  fusion,  visualiza8on,  user   interac8on  across  devices   •  Build  applica8ons  in  domains  that  provide  value  for   users  and  decision  makers   •  Address  policy  issues    
  14. 14. Concerta)on  mee)ng,  Brussels,  25  June  2014   Y.  Kompatsiaris   CERTH-­‐ITI,  SocialSensor   European  Centre  for  Social  Media   •  Topics   –   Social  media  analy8cs   –   Verifica8on   –   Visualisa8on   –   Applica8ons  in  different  domains   •  Ac8vi8es   –   Lis8ngs  of  project,  results,  ins8tu8ons,  events   –   Community  building   –   Support/organise  events   –   Common  social  media  presence  (e.g.  LinkedIn)   –   Funding  from  subscrip8ons,  training,  commercialisa8on   –  Suppor8ng  projects:  SocialSensor,  Reveal,  MULTISENSOR,  PHEME,   DecarboNet,  MWCC,  uComp,     –  Website:  hEp://www.socialmediacentre.eu/     –  Research-­‐academic:  STCSN  hEp://stcsn.ieee.net/
  15. 15. Thank  you  for  your  aEen8on!   ikom@i8.gr   hEp://mklab.i8.gr    

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