Furrer, Lenz; Küker, Susanne; Berezowski, John; Posthaus, Horst; Vial, Flavie; Rinaldi, Fabio (2015). Constructing a Syndromic Terminology Resource for Veterinary Text Mining. In: Proceedings of the 11th International Conference on Terminology and Artificial Intelligence, Granada, 4 November 2015 - 6 November 2015. s.n., 61-70.
Public health surveillance systems rely on the automated monitoring of large amounts of text. While building a text mining system for veterinary syndromic surveillance, we exploit automatic and semi-automatic methods for terminology construction at different stages. Our approaches include term extraction from free-text, grouping of term variants based on string similarity, and linking to an existing medical ontology.
Public health surveillance systems rely on the automated monitoring of large amounts of text. While building a text mining system for veterinary syndromic surveillance, we exploit automatic and semi-automatic methods for terminology construction at different stages. Our approaches include term extraction from free-text, grouping of term variants based on string similarity, and linking to an existing medical ontology.
| Item Type: | Conference or Workshop Item (Paper), refereed, original work |
|---|---|
| Communities & Collections: | 06 Faculty of Arts > Institute of Computational Linguistics |
| Dewey Decimal Classification: | 000 Computer science, knowledge & systems
410 Linguistics |
| Scopus Subject Areas: | Physical Sciences > General Computer Science |
| Language: | English |
| Event End Date: | 6 November 2015 |
| Deposited On: | 12 Nov 2015 11:50 |
| Last Modified: | 31 Jan 2022 08:07 |
| Publisher: | s.n. |
| Funders: | Bundesamt für Lebensmittelsicherheit und Veterinärwesen |
| OA Status: | Green |
| Related URLs: | http://nbn-resolving.de/urn:nbn:de:0074-1495-6 |
Furrer, Lenz