• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
Taking into account communities of practice’s specific vocabularies in information sharing
 

Taking into account communities of practice’s specific vocabularies in information sharing

on

  • 2,294 views

L. Damas and C. Million-Rousseau

L. Damas and C. Million-Rousseau
Condillac Group, LISTIC, Université de Savoie. 73370 Le Bourget du Lac, France
Ontologos Corp. 6, route de Nanfray, 74000 Cran-Gevrier, France

Statistics

Views

Total Views
2,294
Views on SlideShare
2,292
Embed Views
2

Actions

Likes
0
Downloads
0
Comments
0

1 Embed 2

http://www.instac.es 2

Accessibility

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

    Taking into account communities of practice’s specific vocabularies in information sharing Taking into account communities of practice’s specific vocabularies in information sharing Presentation Transcript

    • Taking into account communities of practice ’s specific vocabularies in information sharing Luc Damas Cécile Million-Rousseau
    • Context
      • Research fields
        • Ontologies
        • Terminologies
        • Documents management
        • Communities of Practice
      • Ontologos corp : Knowledge management solutions
      • Condillac Research Group : Knowledge management research
    • Keyword search VS Concept search
      • Information sharing between:
        • Langs
        • Communities of practice
      • Question :
        • How can we get information about a topic when specific languages are used?
      • Example:
        • Searching information about « monkey »
        • Can’t find informations about « primate »
          • Specific vocabulary
        • Can’t find informations about « singe » (french word for monkey)
          • Language variability
    • Our solution
      • Having a conceptual structure: formal ontology
      • Having multiple communities: speciality languages
      • Regrouping words: terminologies
      Animal Mammal … … … … … … … Primate singe French monkey English hominides … Scientist mamifère French
    • Methodology  1. text to lexicons
      • First step in our methodology
      • Prerequisites
        • Communities of practice are identified
        • Domain experts select a set of representative documents
      • Task
        • Linguistic tool automatialy extract candidate terms
        • Co-occurrence
        • Linguistic rules
    • Methodology  2. lexicon to ontology
      • Domain expert and cognitive engineer work together
      • Task
        • Structuration of lexicon
        • Use of semantic network
        • Validation by users
      • The most difficult task
      • Ontology contains consensual terms
      • These terms are often not used
    • Methodology  2. ontology to terminologies
      • Ontology is submitted to users
      • Users gives uses their own language to designate concepts
      • Difficult task: need users, need time
    • Methodology  3. semantic indexing
      • From now, everything is automatic!
      • A document is indexed by:
        • Searching all terminologies terms in the documents
        • Adding in a semantic marker all the designated concepts
      • Result
        • Documents have semantic marker that are containing concept, independently from languages
    • Methodology  4. semantic searching
      • Automatic too!
      • With options!
      • Searching an expression:
        • Find the expression in terminologies
        • Keep associated concepts
        • Searching concepts in semantic markers
        • Returning associated documents, with pertinence
      • Options:
        • Searching more general or more specific concepts
        • Selecting langs
        • …
    • Validation
      • Our methodology is used in big companies
      • Questions?
        • [email_address]
        • Thanks