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

BioCaster: detecting public health rumors with a Web-based text mining system.
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DOI:
10.1093/bioinformatics/btn534
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发表时间:
2008-12-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
通讯作者:
Taniguchi K
Taniguchi K
中科院分区:
其他
文献类型:
--
作者:
Collier N;Doan S;Kawazoe A;Goodwin RM;Conway M;Tateno Y;Ngo QH;Dien D;Kawtrakul A;Takeuchi K;Shigematsu M;Taniguchi K

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摘要:BioCaster 是一种基于本体的文本挖掘系统,用于根据网络上的语言信号检测和跟踪传染病爆发的分布。该系统持续分析 1700 多个 RSS 源报告的文档,根据主题相关性对它们进行分类,并使用地理编码信息将它们绘制到 Google 地图上。弥合外行术语和正式编码系统之间差距的背景知识包含在免费提供的 BioCaster 本体中,其中包括八种语言的信息,重点关注病原体的流行病学作用以及地理位置及其纬度/经度。该系统由四个主要阶段组成:主题分类、命名实体识别(NER)、疾病/位置检测和事件识别。高阶事件分析用于检测更精确的指定警告信号,然后通过电子邮件警报通知注册用户。主题识别和实体识别系统的评估是在带注释的新闻文章的黄金标准语料库上进行的。可用性:BioCaster 地图和本体可通过门户网站 http://www.biocaster.org 免费获取。联系方式:collier@nii.ac.jp
Summary: 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. Availability: The BioCaster map and ontology are freely available via a web portal at http://www.biocaster.org. Contact: collier@nii.ac.jp
DOI: 10.1007/s10579-007-9019-7
发表时间: 2006-12-01
影响因子: 2.7
作者:
Collier, Nigel;Kawazoe, Ai;Kawtrakul, Asanee
通讯作者: Kawtrakul, Asanee