The Vaccine Misinformation Ontology (VAXMO) describes concepts of vaccine misinformation using the Misinformation Ontology framework (Zhou and Zhang, 2007, 2004) and the nanopublication framework (nanopub.org). This ontology can be used to catalogue and analyze vaccine misinformation and be used in ontology-driven software tools. Details about this ontology and some sample use cases can be found in our published work below.
For the stripped down Misinformation Ontology, visit https://github.com/UTHealth-Ontology/MO where we recreated the original Misinformation Ontology for the purpose of this work.
Amith, M., & Tao, C. (2018). Representing vaccine misinformation using ontologies. Journal of Biomedical Semantics, 9(1), 22. https://doi.org/10.1186/s13326-018-0190-0
This article was supported by the National Library of Medicine of the National Institutes of Health under Award Number R01LM011829, the National Institute Of Allergy And Infectious Diseases of the National Institutes of Health under Award Number R01AI130460, and the UTHealth Innovation for Cancer Prevention Research Training Program Pre-doctoral Fellowship (Cancer Prevention and Research Institute of Texas grant #RP160015).