Constructing a syndromic terminology resource for veterinary text mining

Lenz Furrer, Susanne Küker, John Berezowski, Horst Posthaus, Flavie Vial, Fabio Rinaldi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationCEUR Workshop Proceedings
Pages61-70
Number of pages10
Volume1495
Publication statusPrint publication - 2015
Externally publishedYes
Event11th International Conference on Terminology and Artificial Intelligence, TIA 2015 - Granada, Spain
Duration: 4 Nov 20156 Nov 2015

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR Workshop Proceedings
ISSN (Print)1613-0073

Conference

Conference11th International Conference on Terminology and Artificial Intelligence, TIA 2015
Country/TerritorySpain
CityGranada
Period4/11/156/11/15

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