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A multilingual ontology for infectious disease surveillance: rationale, design and challenges

机译：传染病监视的多语言本体论：原理，设计和挑战

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摘要

A lack of surveillance system infrastructure in the Asia-Pacific region is seen as hindering the global control of rapidly spreading infectious diseases such as the recent avian H5N1 epidemic. As part of improving surveillance in the region, the BioCaster project aims to develop a system based on text mining for automatically monitoring Internet news and other online sources in several regional languages. At the heart of the system is an application ontology which serves the dual purpose of enabling advanced searches on the mined facts and of allowing the system to make intelligent inferences for assessing the priority of events. However, it became clear early on in the project that existing classification schemes did not have the necessary language coverage or semantic specificity for our needs. In this article we present an overview of our needs and explore in detail the rationale and methods for developing a new conceptual structure and multilingual terminological resource that focusses on priority pathogens and the diseases they cause. The ontology is made freely available as an online database and downloadable OWL file.
机译：亚太地区缺乏监视系统基础设施，这被视为阻碍了对迅速传播的传染病（例如最近的禽类H5N1流行病）的全球控制。作为改善该地区监视的一部分，BioCaster项目旨在开发一种基于文本挖掘的系统，以自动监视几种区域语言的互联网新闻和其他在线资源。该系统的核心是应用程序本体，其双重目的是可以对挖掘的事实进行高级搜索，并允许系统进行智能推理以评估事件的优先级。但是，在项目早期就很清楚，现有的分类方案没有满足我们需求的必要语言覆盖范围或语义特殊性。在本文中，我们对我们的需求进行了概述，并详细探讨了开发新的概念结构和多语言术语资源的原理和方法，这些概念结构和语言资源侧重于优先病原体及其引起的疾病。本体可以作为在线数据库和可下载的OWL文件免费获得。

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