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使用语义Web技术支持数字医疗服务
Supporting Digital Healthcare Services Using Semantic Web Technologies |
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| 课程网址: |
http://videolectures.net/iswc2018_hall_supporting_digital_technol...
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| 主讲教师: |
Sheldon Hall
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| 开课单位: |
巴比伦健康
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| 开课时间: |
2018-11-22
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| 课程语种: |
英语
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| 中文简介: |
我们报告了我们在使用语义Web技术支持巴比伦健康提供的医疗服务方面所做的努力和面临的挑战。首先，我们创建了一个大型医疗链接数据图（LDG），它集成了许多公开可用的（生物）医疗数据源以及一些国家特定的数据源，为此我们必须构建定制的RDF转换器。即使对于已经以RDF格式分发的数据源，也必须应用转换过程，以统一其模式、简化其结构并使其适应巴比伦数据模型。由于许多OWL构造函数的高度复杂性，简化在巴比伦通常非常重要。维护和管理LDG的另一个重要问题是数据源的版本控制和更新。创建LDG后，在其之上构建了各种服务，以便为需要与之交互的非专家最终用户（如医生和软件工程师）提供抽象层，即基于AI的聊天机器人，用户可以使用该聊天机器人来确定他们是否需要立即就医。
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| 课程简介: |
We report on our efforts and faced challenges in using Semantic Web technologies for the purposes of supporting healthcare services provided by babylon health. First, we created a large medical Linked Data Graph (LDG) which integrates many publicly available (bio)medical data sources as well as several country specific ones for which we had to build custom RDF-converters. Even for data sources already distributed in RDF format a conversion process had to be applied in order to unify their schemata, simplify their structure and adapt them to the babylon data model. Simplification was in general quite important in babylon due to the high complexity of many OWL constructors. Another important issue in maintaining and managing the LDG was versioning and updating with new releases of data sources. After creating the LDG, various services were built on top of it in order to provide an abstraction layer for non-expert end-users like doctors and software engineers which need to interact with it. Finally, we report on one of the key use cases built in babylon, namely an AI-based chatbot which can be used by users to determine if they are in need of immediate medical treatment or the can follow a conservative treatment at home.
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| 关 键 词: |
语义Web技术支持; 大型医疗链接数据图; 定制的RDF转换器; OWL构造函数
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| 课程来源: |
视频讲座网
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| 数据采集: |
2022-12-29：cyh
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| 最后编审: |
2023-05-15：cyh
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| 阅读次数: |
27
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