The ROC ontology for country responses to COVID-19 provides a model for collecting, linking and sharing data on the COVID-19 pandemic. It follows semantic standardization (W3C standards RDF, OWL, SPARQL) for the representation of concepts and creation of vocabularies. ROC focuses on country measures and enables the integration of data from heterogeneous data sources. The proposed ontology is intended to facilitate statistical analysis to study and evaluate the effectiveness and side effects of government responses to COVID-19 in different countries. The ontology contains data collected by OxCGRT from publicly available information. This data has been compiled from information provided by ECDC for most countries, as well as from various repositories used to collect data on COVID-19.

中文翻译：

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ROC：国家应对COVID-19的本体论

国家对COVID-19的反应的ROC本体提供了一个模型，用于收集，链接和共享有关COVID-19大流行的数据。它遵循语义标准化（W3C标准RDF，OWL，SPARQL）来表示概念和创建词汇。ROC专注于国家措施，并能够整合来自异构数据源的数据。拟议的本体旨在促进统计分析，以研究和评估不同国家政府对COVID-19的反应的有效性和副作用。本体包含OxCGRT从公开可用信息中收集的数据。该数据是从ECDC为大多数国家/地区提供的信息以及用于收集COVID-19数据的各种存储库中汇总而来的。