• Aucun résultat trouvé

A Business Case of the Use of Ontologies for Knowledge Capitalization and Exploitation

N/A
N/A
Protected

Academic year: 2022

Partager "A Business Case of the Use of Ontologies for Knowledge Capitalization and Exploitation"

Copied!
5
0
0

Texte intégral

(1)

! "

# ! ! $ %

& ' % % ( ! "& ' % )

# $ ) & ' % %"$

$ " ) ( " " $ & ' % *

+, - ) & " $ " $

$ $ , ! . % # $ $ %#

$ & ' % $ " $ # $

' %/$ ' % & ' % " 0 12 ' &

$ # $ 12 ' $ ' % 1

2 ' ' ) ) ! " % % ' $ $ ! * # $

) $ ! $ ! " % ' 12 ' ' "

# & ' % 1

3$ %! " ' $ ) ""

! 3 $ .4 ""

# 5 5 $ $ $ )

% % %

/ " 0 % % %

$ ' 6 ) " # ' $ 78888 " #

$ 8 9: $ % ! " & ' % )

# ; $ <=8+97: 9:- $ ! " $ # $

) ' $% % $ %$ %"$ + % -

> % 9: % #" # $

$ " + - $ , ?; ) #

3$ @ $ % $ ! '" $ $

" '$ $ " $ $ % " + $ $ -

(2)

7 ! " #$ %

3$ ' & % " $ ' " # " 0

$ " ' + & %

"" # -'$ $ /

− ) # $

− $ "

− ) $ %

Ontology

reality time

model

Design

Knowledge System

abstraction

Ontology

reality time

model

Design

Knowledge System

abstraction

& '(

) *

3 ! # % $ ! " , ' % > ;#

+,>;-' $ " 0 +' $ $ % ) ! - )

+ ! ( $ )@ !

$ " ! $ % $ ,>;+) ! % ) #-

' $ $ " " '$ ! ) /) #

" " 3$ # ' $ # A '$

& ! % $ & ' % $ %# $ # 3$ %#

$ ) ! # " $ " " $ # $

" 0

+ > %

% $ ! ' $ ) % ' / !

% % ) + ) ,> - % %

! ! " $ ' &

$ "" 3 $ $ " ' $ & ' % "

$ "" ) # $

(3)

+ , !

. % $ ! " $ $ " @ *

%! ) % $ ) # ) # $ &

% $ "# % "" )# $ " @ " $ %

& @ " 0 $ " @

- * .

4 $ ) " ' ) /

" " 0

3$ " ! % ) )

" " $ $ ! "

$ $ ) " $ " * "

" $ $" %# 3$ $ $

# & ' % " ! ) % $

) " " $ "

3$ 3$ " " ) $ $

" ) $ " ! $ 3$ #

" $ # & ' % $ % ' &

> $ $ & % $ $ %$ $ " +$ " "

" "" " - 0 + %

%! " $ -

4 $ $ % & ' % ) % 0 +-

* " ""# ! #" + "# - +)-

! ""# $ % " + $ $ - +- $ #

$ +) # " " "

" % " - ( # + - $

% $ % ,> $ ) & # $ # %

" $ * $

/ 0

3$ ! " $ %#) % ' $ B%B9C: $ D?

3$ & ' )) 3$

# * '$ $ " $ " &

'$

(4)

E ! " #$ %

1 2 , 9E: $ $ + $ $ ! - $ ' %

" " /

(" #) ! ) #+ # % % -

( "" ) # ) *

3$ 2 ( " $ $ * & & ' % /"

! 'F ; DG ) $

3 $ " $ .4 B%B

4 $ $ $ 3( 9: " #" $ %#

! 0 # ' $ $

3$ " $ $ # ' $ $

$

)&$

$ %$ $ B%B 4 # % $ $ $

' & % "$ $ $ & #

$ & "" % $ + $"

(5)

C

" " "$ - ) %

+* " %# -

$ " $ $ "$ ' ) ) $

, & $ ' $ $ ! " ,>;+ %

- ) ' #

3 .

3$ " % " 0 " " % % "

$ % " 0 ' # " $ # % $

' " " % $ & $ $%$ ! 0 " /

" 0 $ $ $ 3$ " 0

) ' ! # * #

& ' % "

4 5

/ ''' " /

$ "/AA''' A "$"1 %H I" % H C7

7 J ' 3$ & ' % ! K/K 7 =K7

3 D L ) "" $ " ) %

C+7-/==778 ==

E M ? > J ) @ " /N. %#

) & ' % % $ #O ( ND 4 ""

; 3 $ %#O 3 ) " ) $ )# ;" % P )# M % 2 "" #

C B%BF$ "/AA" % A

3( $ "/AA''' %A' )A A A $

Références

Documents relatifs

In the context of event correlation, a semantic knowledge base and its corresponding graph provide a way to model concepts like processes, process instances, and events in a

KBEE is a model based enterprise engineering framework that aims at modeling knowledge in all shapes and all sources in the enterprises in the perspective to provide an integrated

– Wikidata, the knowledge graph of Wikipedia, is natively using a graph-like data model that supports expressive annotations for capturing context [30].. Details are discussed in

The semantic annotation of geographical knowledge allows to highlight that the the perception of the space that ancient populations had in their minds is a type of

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

In this paper, we study the feasibility of the use of case-based reasoning (CBR) 4 with latent semantic analysis (LSA) 5 , in order to facilitate the TRIZ problem solving

i) The extraction stage was undertaken mainly by a know- ledge engineer using NLP tools applied to sources suggested by experts. As a means of producing a list of relevant terms in

O6K¶L*¦ÅO6K¶LGDMUÄSTQEF nDMIK ¡ DMI ¦ÅI$HKEO9”SEDGIQPHhI$H vwKEKEFNI$H CTªÄQPHlvRDMF vwSEªVI$H  EGFHJIKLMI@NO'IPQ6FHJI MIÈK O6QESEªVUÄIÈCPvRHlKEO6K‰CTªÄQPH e ªÄF