BIOCASTER : 多言語ニューステキストを利用した感染症の早期発見および監視
BIOCASTER: Detection and Tracking of Disease Outbreaks from Multilingual News Texts
Building of test collections for Web navigational search and the advanced search methods

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

Summary

要旨
SARSやトリインフルエンザのような感染症の発生を早期に発見し、監視・追跡するには、様々な言語で書かれたWeb上のローカルニュースを、各国の政府が責任を持ってモニターする必要がある。BioCasterプロジェクトでは、最新のテキストマイニング技術を応用して多言語のニュース記事をフィルタリングし、構造化された形式で現地語に翻訳するWebポータルを開発する。特に、(1) 多言語知識リソース（オントロジー）、(2) 高性能クラスタコンピュータおよびストレージシステム、(3) 感染症に関するニュース記事と、研究文献や遺伝子データベースにある最新の研究成果をナビゲートする、知的なリンケージシステム等の構築に焦点を当てる。

Early detection and tracking of a possible disease outbreak such as SARS
or Avian influenza is a responsibility for governments who are faced with
monitoring massive quantities of local news on the WWW in several
languages. In BioCaster we are developing a web-portal using the latest
text mining technology that can filter news reports in various regional
languages and present a summarized translation in the local language.
Research is focusing on creating: (1) a multi-lingual knowledge resource(ontology), (2) a high-performance text mining system, (3) an intelligent
linkage system for navigating between news about diseases and thelatest research findings in the literature and genetics databases.

状況設定
Purpose■Enable timely access to disease outbreak news to raise government and public health expert’s

awareness■ Access to multi-lingual news reports on the Internet using text mining technology■ Integration of bio-geographic information to aid in the analysis of disease spread■ Automatic email alerts to registered users for news items on key topics of interest■ Linkage of rich information sources to help users decide on the significance of the outbreak
状況設定SystemFeatures■ News in 12 languages■ Bio-geographic maps
■ Graphical trend analysis■ Automated alerting■ Open source ontology■ Open source text mining
system■ Regularly used by nationaland international agencies

Find out more at: http://biocaster.nii.ac.jp
連絡先： Nigel COLLIER ／ 国立情報学研究所 Principles of Informatics, Associate Professor
TEL : 03-4212-2536

FAX : 03-3556-1916

Email : collier@nii.ac.jp

BIOCASTER : 多言語ニューステキストを利用した
タイトル
感染症の早期発見およびサブタイトルなど 監視Aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
BIOCASTER: Detection
and Tracking of Disease Outbreaks from Multilingual News Texts
Building of test collections for Web navigational search and the advanced search methods

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

ThemesThe BioCaster project encompasses a range of research themes related
to the real time semantic analysis of textual content. Key processes
include text classification, named entity recognition, event extraction,event alerting and visualization. Underlying the whole system is a multilingual ontology – the BioCaster Ontology or BCO. The BCO is freely
available to download and contains a wealth of structured terminology inmany languages related to infectious diseases.
References for Ontology Engineering:
1.Collier, N., MatsudaGoodwin, R., McCrae, J., Doan, S., Kawazoe, A., Conway, M.,
Kawtrakul, A., Takeuchi, K. and Dien, D. (2010), “An ontology-driven system fordetecting global health events”, Proc. 23rd International Conference on Computational
Linguistics (COLING), Beijing, China, August 23-27, (accepted to appear).
2.Kawazoe, A., Chanlekha, H., Shigematsu, M. and Collier, N. (2008), “Structuring anevent ontology for disease outbreak detection”, BMC Bioinformatics, 9 (Suppl 3): S8,
DOI: 10.1186/1471-2105-9-S3-S8.
3.McCrae, J. and Collier, N. (2008), “Synonym set extraction from the biomedical
literature by lexical discovery”, in BMC Bioinformatics, 9:159, DOI: 10.1186/14712105-9-159.

Fig 1. Semantic analysis pipeline
References for Text Classification:1.Conway, M., Kawazoe, A., Chanlekha, H. and Collier, N. (2010), “Developing adisease outbreak corpus”, Journal of Medical Internet Research (in press).
2.Doan, S., Conway, M. and Collier, N. "An Empirical Study of Sections in Classifying
Disease Outbreak Reports", invited chapter in Annals of Information Systems, Special
Issue "Web-based Applications in Health Care & Biomedicine", Springer, 2009.

Reference for Automated Alerting:
1.Collier, N. (2010), “What’s unusual in online disease outbreak news?” Journal of
Biomedical Semantics, 1:2, DOI:10.1186/2041-1480-1-2.

Fig 2. Overview of the BioCaster Ontology

References for Geo-Temporal Tagging:
1.Chanlekha, H. and Collier, N. (2010), "A methodology to enhance spatial
understanding of disease outbreak events reported in news articles", International
Journal of Medical Informatics (in press).
2.Chanlekha, H. and Collier, N. (2010), “Analysis of syntactic and semantic features
for fine-grained event-spatial understanding in outbreak news reports”, Journal of
Biomedical Semantics, 1:3, DOI: 10.1186/2041-1480-1-3.
3.Chanlekha, H. and Collier, N. (2010), “A framework for enhanced spatial andtemporal granularity in report-based health surveillance systems”, Journal of Medical
Informatics and Decision Making, 10(1).

PartnersFig 3. Global health mapping

Partnership is central to our goal in improving health andsafety. We are working with collaborators at: Okayama
University Japan, National Institute of Infectious Diseases
Japan, National Institute of Genetics Japan, Kasetsart
University Thailand, Viet Nam National University Ho Chi Minh
City, Vanderbilt University Medical Center, Pittsburgh
University USA, University of Bielefeld Germany, Fordham
University USA, and international public health organizations
In Europe, and North America.

連絡先： Nigel COLLIER ／ 国立情報学研究所 Principles of Informatics, Associate Professor
TEL : 03-4212-2536

FAX : 03-3556-1916

Email : collier@nii.ac.jp