Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detecting fake news for the new coronavirus by reasoning on the Covid-19
  ontology   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.

25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess
36
The categories of this paper are: cmp-lg
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
21
The categories of this paper are: adap-org
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
2
The categories of this paper are: math
15
The categories of this paper are: nucl-ex