Detecting fake news for the new coronavirus by reasoning on the Covid-19 ontology

Technical University of Cluj-Napoca（克卢日-纳波卡技术大学）

Adrian Groza

英文摘要：

In the context of the Covid-19 pandemic, many were quick to spread deceptive information. I investigate here how reasoning in Description Logics (DLs) can detect inconsistencies between trusted medical sources and not trusted ones. The not-trusted information comes in natural language (e.g. "Covid-19 affects only the elderly"). To automatically convert into DLs, I used the FRED converter. Reasoning in Description Logics is then performed with the Racer tool.

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