BioCaster: detecting public health rumors with a Web-based text mining system

被引：139

作者：

Collier, Nigel ^{[1
,2
]}

Doan, Son ^{[1
]}

Kawazoe, Ai ^{[1
]}

Goodwin, Reiko Matsuda ^{[1
,3
]}

Conway, Mike ^{[1
]}

Tateno, Yoshio ^{[4
]}

Quoc-Hung Ngo

Dinh Dien

Kawtrakul, Asanee ^{[5
]}

Takeuchi, Koichi ^{[6
]}

Shigematsu, Mika ^{[7
]}

Taniguchi, Kiyosu ^{[7
]}

机构：

[1] ROIS, Natl Inst Informat, Tokyo 1018430, Japan

[2] Japan Sci & Technol Corp, PRESTO, Tokyo 1018430, Japan

[3] CUNY Herbert H Lehman Coll, Dept Anthropol, Bronx, NY 10468 USA

[4] ROIS, Natl Inst Genet, Mishima, Shizuoka 4118540, Japan

[5] Kasetsart Univ, Dept Comp Engn, NECTEC, Bangkok, Thailand

[6] Okayama Univ, Okayama 7008530, Japan

[7] Natl Inst Infect Dis, Tokyo 1628640, Japan

来源：

BIOINFORMATICS | 2008年 / 24卷 / 24期

基金：

日本学术振兴会; 日本科学技术振兴机构;

关键词：

D O I：

10.1093/bioinformatics/btn534

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

BioCaster is an ontology-based text mining system for detecting and tracking the distribution of infectious disease outbreaks from linguistic signals on the Web. The system continuously analyzes documents reported from over 1700 RSS feeds, classifies them for topical relevance and plots them onto a Google map using geocoded information. The background knowledge for bridging the gap between Layman's terms and formal-coding systems is contained in the freely available BioCaster ontology which includes information in eight languages focused on the epidemiological role of pathogens as well as geographical locations with their latitudes/longitudes. The system consists of four main stages: topic classification, named entity recognition (NER), disease/location detection and event recognition. Higher order event analysis is used to detect more precisely specified warning signals that can then be notified to registered users via email alerts. Evaluation of the system for topic recognition and entity identification is conducted on a gold standard corpus of annotated news articles.

引用

页码：2940 / 2941

页数：2

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