Using Semantic Web in ICD-11: Three Years Down the Road
Using Semantic Web in ICD-11: Three Years Down the Road
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在 ICD-11 中使用语义网：未来三年
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
M. Musen
中科院分区：
文献类型：
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作者：
Tania Tudorache;Csongor Nyulas;Natasha Noy;M. Musen
世界卫生组织正在使用语义网技术开发第11版《国际疾病分类》(ICD-11).卫生官员在联合国所有成员国使用ICD编制基本卫生统计数据，监测与卫生相关的支出，并向政策制定者提供信息。2010年，我们在ISWC in Use Track上发表了一篇论文，报告了我们在前六个月构建和部署ICAT的经验，ICAT是一个支持ICD-11协作创作的语义Web平台。自我们最初发表以来的三年里，世界各地的270名领域专家使用ICAT编写了超过45,000个课程，执行了超过260,000个更改，并创建了超过17,000个指向外部医学术语的链接。在过去三年中，协作流程、建模和工具有了显著的发展，我们学到了重要的经验教训，我们将在本文中报告这些经验教训。我们描述了使用语义技术作为基础设施的好处，事实证明，这是支持这种快速发展的关键。据我们所知，这一努力是唯一一个支持这种规模的本体协作创作的现实世界项目，同时对世界各地的医疗保健具有很高的可见性和影响。我们相信，在参与这一大型项目四年后，我们获得的见解和经验教训将对其他需要支持类似合作项目的人有所帮助。
The World Health Organization is using Semantic Web technologies in the development of the 11 th revision of the International Classification of Diseases (ICD-11). Health officials use ICD in all United Nations member countries to compile basic health statistics, to monitor health-related spending, and to inform policy makers. In 2010, we published a paper in the ISWC In Use track reporting on our experience in the first six months with building and deploying iCAT, a Semantic Web platform to support the collaborative authoring of ICD-11. Three years since our original publication, 270 domain experts around the world have used iCAT to author more than 45,000 classes, to perform more than 260,000 changes, and to create more than 17,000 links to external medical terminologies. During the last three years, the collaboration processes, modeling and tooling have evolved significantly, and we have learned important lessons, which we will report in this paper. We describe the benefits of using semantic technologies as an infrastructure, which proved to be critical in making support for this rapid evolution possible. To our knowledge, this effort is the only real-world project supporting the collaborative authoring of ontologies at this scale, and which, at the same time, has a high visibility and impact for the health care around the world. We believe that the insights that we gained and the lessons that we learned after four years into this large-scale project will be useful to others who need to support similar collaborative projects.