Découvrir et enrichir des connaissances à partir de l’analyse de documents grâce à l’intelligence artificielle : l’exemple de la plateforme Kairntech (notice n° 669888)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02017cam a2200349 4500500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250121195324.0 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | fre |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | dc |
| 100 10 - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Nibart, Vincent |
| Relator term | author |
| 245 00 - TITLE STATEMENT | |
| Title | Découvrir et enrichir des connaissances à partir de l’analyse de documents grâce à l’intelligence artificielle : l’exemple de la plateforme Kairntech |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Date of publication, distribution, etc. | 2022.<br/> |
| 500 ## - GENERAL NOTE | |
| General note | 97 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Quand il s’agit d’organiser ou de rendre accessibles des informations complexes, ou d’aider les chercheurs ou analystes à découvrir de nouvelles informations, les vocabulaires structurés (lexiques, dictionnaires, thésaurus, taxonomies…) et plus largement les bases de connaissance, jouent un rôle important. Mais encore faut-il les mettre constamment à jour, ce qui représente une tâche longue, fastidieuse et difficile. Le cas de la veille juridique illustre bien ce problème. Dès lors, une assistance devient indispensable : à partir d’un vocabulaire d’amorçage, la plateforme Kairntech, accessible à des non-informaticiens, permet de gérer et d’analyser de grandes quantités de documents, de mettre à jour des vocabulaires métiers et des bases de connaissance, et ainsi d’économiser un temps considérable. |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | intelligence artificielle |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | analyse de document |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | thésaurus |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | base de connaissance |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | vocabulaire métier |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | IA |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | corpus d’apprentissage |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | extraction d’entités nommées |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Kairntech |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | dictionnaire |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | annotation de texte |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | réseau de neurones |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | taxonomie |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | données d’entrainement |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | lexique |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Machine Learning |
| 786 0# - DATA SOURCE ENTRY | |
| Note | I2D - Information, données & documents | 1 | 1 | 2022-07-11 | p. 38-43 | 2428-2111 |
| 856 41 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://shs.cairn.info/revue-i2d-information-donnees-et-documents-2022-1-page-38?lang=fr&redirect-ssocas=7080">https://shs.cairn.info/revue-i2d-information-donnees-et-documents-2022-1-page-38?lang=fr&redirect-ssocas=7080</a> |
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