Taking into account  communities of practice ’s specific vocabularies in information sharing   Luc Damas Cécile Million-Ro...
Context <ul><li>Research fields </li></ul><ul><ul><li>Ontologies </li></ul></ul><ul><ul><li>Terminologies </li></ul></ul><...
Keyword search VS Concept search <ul><li>Information sharing between: </li></ul><ul><ul><li>Langs </li></ul></ul><ul><ul><...
Our solution <ul><li>Having a conceptual structure:  formal ontology </li></ul><ul><li>Having multiple communities:  speci...
Methodology    1. text to lexicons <ul><li>First step in our methodology </li></ul><ul><li>Prerequisites </li></ul><ul><u...
Methodology    2. lexicon to ontology <ul><li>Domain expert and cognitive engineer work together </li></ul><ul><li>Task <...
Methodology    2. ontology to terminologies <ul><li>Ontology is submitted to users </li></ul><ul><li>Users gives uses the...
Methodology    3. semantic indexing <ul><li>From now, everything is automatic! </li></ul><ul><li>A document is indexed by...
Methodology    4. semantic searching <ul><li>Automatic too! </li></ul><ul><li>With options! </li></ul><ul><li>Searching a...
Validation <ul><li>Our methodology is used in big companies </li></ul><ul><li>Questions? </li></ul><ul><ul><li>[email_addr...
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Taking into account communities of practice’s specific vocabularies in information sharing

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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

Published in: Economy & Finance, Education
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Taking into account communities of practice’s specific vocabularies in information sharing

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

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