CODO：用于收集和分析Covid-19数据的本体
CODO: An Ontology for Collection and Analysis of Covid-19 Data
摘要：
COviD-19病例和患者信息本体（CODO）为收集和分析有关COVID-19大流行的数据提供了一个模型。本体提供了一个基于标准的开源模型，便于集成来自异构数据源的数据。该本体通过分析不同的COVID-19数据源（如数据集、文献、服务等）而设计。该本体通过重用其他领先词汇表中的概念以及使用W3C标准RDF、OWL、SWRL和SPARQL，遵循词汇表的最佳实践。本体已经有一个独立的用户，并已纳入来自印度政府的真实世界的数据。
英文摘要：
The COviD-19 Ontology for cases and patient information (CODO) provides a model for the collection and analysis of data about the COVID-19 pandemic. The ontology provides a standards-based open-source model that facilitates the integration of data from heterogeneous data sources. The ontology was designed by analysing disparate COVID-19 data sources such as datasets, literature, services, etc. The ontology follows the best practices for vocabularies by re-using concepts from other leading vocabularies and by using the W3C standards RDF, OWL, SWRL, and SPARQL. The ontology already has one independent user and has incorporated real-world data from the government of India.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
