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

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

研究成果 › 査読

抄録

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.

本文言語	English
ページ	215-222
ページ数	8
出版ステータス	Published - 2010
イベント	23rd International Conference on Computational Linguistics, Coling 2010 - Beijing 継続期間: 8月 23 2010 → 8月 27 2010

Other

Other	23rd International Conference on Computational Linguistics, Coling 2010
国/地域	China
City	Beijing
Period	8/23/10 → 8/27/10

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

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ASJC Scopus subject areas

言語および言語学
計算理論と計算数学
言語学および言語

他のファイルとリンク

引用スタイル

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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.",

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AU - Collier, Nigel

AU - Goodwin, Reiko Matsuda

AU - Mccrae, John

AU - Doan, Son

AU - Kawazoe, Ai

AU - Conway, Mike

AU - Kawtrakul, Asanee

AU - Takeuchi, Koichi

AU - Dien, Dinh

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/80053390640

UR - https://www.scopus.com/pages/publications/80053390640#tab=citedBy

M3 - Paper

AN - SCOPUS:80053390640

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T2 - 23rd International Conference on Computational Linguistics, Coling 2010

Y2 - 23 August 2010 through 27 August 2010

ER -

An ontology-driven system for detecting global health events

抄録

Other

UN SDG

ASJC Scopus subject areas

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