STI Summit 2011 - A personal look at the future of Semantic Technologies

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STI Summit 2011 - A personal look at the future of Semantic Technologies

  1. 1. A  personal  look  at  the  future  of   Seman2c  Technologies   Valen2n  Zacharias   Riga,  7.7.2011  
  2. 2. Summary  1.  The  future  of  Seman2c  Technologies  does   not  belong  to  the  current  Seman2c  Web   technology  stack  2.  It  may  belong  to  the  principles  underlying  it    3.  For  that  there  are  s2ll  many  relevant  and   exci2ng  topics    
  3. 3. A  word  about  myself  •  Working  with  Seman2c  Technologies  since   2001  in  public  and  industry  funded  project  in   different  roles  in  Rudis  FZI  group  (and  at   Ontoprise)  •  Since  2010  head  of  interdisciplinary  research   division  IPE  at  FZI  
  4. 4. …  framework  is  proposed  ..   …  report  on  implementa2on  in   progress…   …  func2onal  prototype…   …  approach  with  preliminary   evalua2on  …   …  proof  of  concept  …   …  outline  architecture…   realis2c  example  ...  …  prototype  on  the  web…   …  prototypic  implementa2on    ...   …  use  case  is  described  …  
  5. 5. Summary  1.  The  future  of  Seman2c  Technologies  does   not  belong  to  the  current  Seman2c  Web   technology  stack  2.  It  may  belong  to  the  principles  underlying  it    3.  For  that  there  are  s2ll  many  relevant  and   exci2ng  topics    
  6. 6. Use  Case  1-­‐  Social  Seman2c  Tagging  &   Collabora2ve  Ontology  Engineering  •  Nega2ve  Experience:   –  Social  /  Quan2ta2ve  data  (it  maZers  whether  a   statement  has  been  made  once  or  ten  2mes)  not  well   representable.     –  World  is  not  ternary  (e.g.  <user,tag,resource,2me>),   hence  o]en  awkward  to  represent  and  query   –  Statement  metadata  (creator,    visibility,  2mestamp)   awkward  to  manage     –  Open  World  schema  seman2cs  hard  to  grasp  for  users   (SKOS  rescued  as  here)  and  frequent  source  of   programming  errors  
  7. 7. Use  Case  2  –  Seman2c  Context   Management  •  Managing  a  complex  representa2on  of  a  device’s  or   user’s  context   –  E.g.  for  Ambient  Assisted  Living  &  Adaptable  user   interfaces   –  Challenge  is  to  integrate  data  from  many  sensors,  to   deduce  informa2on  from  that  and  to  detect  and  act  on   predefined  situa2ons  •  Nega2ve  Experience:   –  Missing  (classical)  schema  language  to  specify  contracts   between  different  components  involved  in  managing  the   context  informa2on  (and  between  triple  store  and  object   oriented  world)   –  Awkward  to  deal  with  uncertainty   –  OWL  not  well  suited  to  formalize  the  needed  reasoning  
  8. 8. Use  Case  3  –  Enterprise  Informa2on   Integra2on  •  Crea2ng  a  long  term  plan  to  tackle  an   enterprise’s  eternal  informa2on  integra2on   challenges  •  Nega2ve  Experience:   –  (Currently  SW  tools  &  concepts  not  mature   enough  to  seriously  propose  this  to  companies)     –  Mapping  arbitrary  RDBs  and  XMLs  to  RDF  o]en   results  in  awkward  representa2ons  and  unclear   benefit   –  OWL  does  not  help  in  any  way  I  can  see  
  9. 9. Why  Stuff  within  the  Seman2c  Technologies  and   Seman2c  Web  visions   Data  web   Stuff   „Seman2c   technologies“ *  are  actually   good  for   *:  here  meant:   RDF,  RDFS,  OWL  
  10. 10. Summary  1.  The  future  of  Seman2c  Technologies  does   not  belong  to  the  current  Seman2c  Web   technology  stack  2.  It  may  belong  to  the  principles  underlying  it    3.  For  that  there  are  s2ll  many  relevant  and   exci2ng  topics    
  11. 11. ‚Underlying  Principles‘  /  Core  Ideas  •  Complex  Databases:  pushing  the  boundaries   complex  informa2on  processing  in  databases  •  (Partly)  Domain  Knowledge  Agnos:c  Systems:   Taking  domain  knowledge  out  of  code  and  db   schema  and  make  it  changeable  at  run2me  •  Collabora:ve  Domain  Knowledge:  Make  formal   domain  knowledge  models  editable,  shareable   and  linkable  •  Using  Web  Like  Data  Integra:on  to  tackle  very   large  data  integra2on  problems  
  12. 12. Summary  1.  The  future  of  Seman2c  Technologies  does   not  belong  to  the  current  Seman2c  Web   technology  stack  2.  It  may  belong  to  the  principles  underlying  it    3.  For  that  there  are  s2ll  many  relevant  and   exci2ng  topics    
  13. 13. Future  Topics?  •  Complex  Databases:  pushing  the  boundaries   complex  informa2on  processing  in  databases   –  In  CEP  /  Stream  Processing   –  Elas2c,  distributed,  in  memory,  mul2-­‐tenancy  ,   everything  in  (business)  real  2me,  big  data,   schemaless  and  No(t  only)  SQL  
  14. 14. Future  Topics?  •  Using  Web  Like  Data  Integra2on  to  tackle  very   large  data  integra:on  problems   –  An  En2re  Enterprise   –  All  the  laws  of  a  state  (or  the  EU)   –  An  en2re  scien2fic  field  
  15. 15. Summary  1.  The  future  of  Seman2c  Technologie  does  not   belong  to  the  current  Seman2c  Web   technology  stack  2.  It  may  belong  to  the  principles  underlying  it    3.  For  that  there  are  s2ll  many  relevant  and   exci2ng  topics    

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