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Creating lightweight ontologies for dataset description practical applications in a cross-domain research data management workflow

机译:为跨领域研究数据管理工作流中的数据集描述实际应用创建轻量级本体

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The description of data is a central task in research data management. Describing datasets requires deep knowledge of both the data and the data creation process to ensure adequate capture of their meaning and context. Metadata schemas are usually followed in resource description to enforce comprehensiveness and interoperability, but they can be hard to understand and adopt by researchers. We propose to address data description using ontologies, which can evolve easily, express semantics at different granularity levels and be directly used in system development. Considering that existing ontologies are often hard to use in a crossdomain research data management environment, we present an approach for creating lightweight ontologies to describe research data. We illustrate our process with two ontologies, and then use them as configuration parameters for Dendro, a software platform for research data management currently being developed at the University of Porto.
机译:数据描述是研究数据管理中的核心任务。描述数据集需要深入了解数据和数据创建过程,以确保充分捕捉其含义和上下文。通常在资源描述中遵循元数据模式以增强全面性和互操作性,但是研究人员可能很难理解和采用它们。我们建议使用本体来解决数据描述问题,该本体可以轻松发展,以不同的粒度级别表达语义并直接用于系统开发。考虑到现有的本体通常在跨域研究数据管理环境中很难使用,我们提出一种创建轻量级本体来描述研究数据的方法。我们用两种本体来说明我们的过程,然后将它们用作Dendro的配置参数,Dendro是波尔图大学目前正在开发的用于研究数据管理的软件平台。

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