A multilingual ontology for infectious disease surveillance: rationale, design and challenges
A multilingual ontology for infectious disease surveillance: rationale, design and challenges
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DOI：
10.1007/s10579-007-9019-7
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发表时间：
2006-12-01
影响因子：
2.7
通讯作者：
Kawtrakul, Asanee
中科院分区：
文献类型：
--
作者：
Collier, Nigel;Kawazoe, Ai;Kawtrakul, Asanee
亚太地区缺乏监测系统基础设施被视为阻碍全球控制迅速蔓延的传染病，如最近的禽流感H5N1疫情。作为改善该区域监测工作的一部分，BioCaster项目旨在开发一个基于文本挖掘的系统，用于自动监测几种区域语言的互联网新闻和其他在线来源。该系统的核心是一个应用本体，它具有双重目的，即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。然而，在项目的早期，很明显现有的分类方案没有必要的语言覆盖范围或语义特异性来满足我们的需求。在这篇文章中，我们提出了一个概述我们的需求，并详细探讨了开发一个新的概念结构和多语种术语资源，重点放在优先病原体和它们引起的疾病的原理和方法。该本体作为在线数据库和可下载的OWL文件免费提供。
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.