An ontology-driven system for detecting global health events

Nigel Collier, Reiko Matsuda Goodwin, John Mccrae, Son Doan, Ai Kawazoe, Mike Conway, Asanee Kawtrakul, Koichi Takeuchi, Dinh Dien

Research output: Contribution to conferencePaperpeer-review

26 Citations (Scopus)

Abstract

Text mining for global health surveillance is an emerging technology that is gaining increased attention from public health organizations and governments. The lack of multilingual resources such as Word- Nets specifically targeted at this task has so far been a major bottleneck. This paper reports on a major upgrade to the Bio Caster Web monitoring system and its freely available multilingual ontology; improving its original design and extending its coverage of diseases from 70 to 336 in 12 languages.

Original languageEnglish
Pages215-222
Number of pages8
Publication statusPublished - 2010
Event23rd International Conference on Computational Linguistics, Coling 2010 - Beijing, China
Duration: Aug 23 2010Aug 27 2010

Other

Other23rd International Conference on Computational Linguistics, Coling 2010
Country/TerritoryChina
CityBeijing
Period8/23/108/27/10

ASJC Scopus subject areas

  • Language and Linguistics
  • Computational Theory and Mathematics
  • Linguistics and Language

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