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Fabien Gandon, Alain Giboin, Edelweiss, Inria
KNOWLEDGE 
ENGINEERING 1.0
we do have methods,
formalisms and tools
ERGONOMICS ?
in ontology‐based
applications
USER IN THE LOOP
     but in whose loop?
         in ours not his!
we still design technical solutions instead of
       SITUATED SOLUTIONS
USER 2.0
 a new computational resource
e.g.   CAPTCHA
       Completely Automated 
       Public Turing test to 
       Tell Computers and 
       Humans Apart
RELAY
attack : exploit online users 
to solve the CAPTCHA for a 
malicious application
« USE USERS »
 with the right incentive,
 to classify, organize, etc.
game
ESP
galaxy
ZOO
SOCIAL TAGGING
      collectively create 
      and manage tags to 
      annotate and 
      categorize content
a huge number of users creating
a huge number of categories
ACQUISITION 1.0
        the old bottleneck of 
        knowledge systems
TAG

                     TERM

      CONCEPT
       (candidate)
ONTOLOGY             FOLKSONOMY
defined by the kind        defined by the way 
    of knowledge it 
           contains
                       &   it was obtained
first trials with
 ONTOGAMES
oconception


ooperation
   and evolution as a side effect 




oevolution
    of the two artifacts
importance of incentives and
MOTIVATIONS
WISDOM
of  crowd ?
VOTES FROM THE 
                                           PUBLIC…




               What is turning around the earth ?
                 The Moon          The Sun
                 Mars              Venus


who wants de win millions of 

ONTOLOGIES
EPPUR SI MUOVE
Galileo, 1564‐1642, epitaph   
CONTROL
statistics
cross‐check
honeypot / traps
PAST, PRESENT, FUTURE
“An important aspect of the larger unit 
 is that it contains computational 
 elements (persons) who cannot be 
 described entirely in computational 
 terms.” 
 Cognition in the wild, Hutchins, 1995
fabien and alain, INRIA

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ontologies in the wild