摘要：Since the outbreak of the COVID-19 pandemic, many research organizations have studied the genome of the SARS-CoV-2 virus; a body of public resources have been published for monitoring its evolution . While we experience an unprecedented richness of information in this domain, we also ascertained the presence of several information quality issues . We hereby propose CoV2K, an model for explaining SARS-CoV-2-related concepts and interactions, focusing on viral mutations, their co-occurrence within variants, and their efects . CoV2K provides a clear and concise route map for understanding diferent connected types of information related to the virus; it thus drives a process of data and knowledge integration that aggregates information from several current resources, harmonizing their content and overcoming incompleteness and inconsistency issues . CoV2K is available for exploration as a graph that can be queried through a RESTful API addressing single entities or paths through their relationships . Practical use cases demonstrate its application to current knowledge inquiries .
