KEOPS: Knowledge ExtractOr Pipeline System
Martin P., Helmer T., Rabatel J., Roche M.. 2021. In : Cherfi Samira (ed.), Perini Anna (ed.), Nurcan Slemin (ed.). Research challenges in information science: 15th International Conference, RCIS 2021 Limassol, Cyprus, May 11–14, 2021 Proceedings. Cham : Springer, p. 561-567. (Lecture Notes in Business Information Processing, 415). International Conference on Research Challenges in Information Science (RCIS 2021). 15, 2021-05-11/2021-05-14, Limassol (Chypre).
DOI: 10.18167/DVN1/WJT7U2
The KEOPS platform applies text mining approaches (e.g. classification, terminology and named entity extraction) to generate knowledge about each text and group of texts extracted from documents, web pages, or databases. KEOPS is currently implemented on real data of a project dedicated to Food security, for which preliminary results are presented.
Mots-clés : fouille de textes; indexation d'information; terminologie; classification (information); gestion des connaissances
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Agents Cirad, auteurs de cette publication :
- Helmer Thierry — Dgdrd / Dgdrd - dsi
- Martin Pierre — Persyst / UPR AIDA
- Roche Mathieu — Es / UMR TETIS