Journal of Biomedical Semantics 10 (1):1-14 (2019)

Y. J. Hong
Yonsei University
Barry Smith
State University of New York, Buffalo
Host-microbiome interactions (HMIs) are critical for the modulation of biological processes and are associated with several diseases, and extensive HMI studies have generated large amounts of data. We propose that the logical representation of the knowledge derived from these data and the standardized representation of experimental variables and processes can foster integration of data and reproducibility of experiments and thereby further HMI knowledge discovery. A community-based Ontology of Host-Microbiome Interactions (OHMI) was developed following the OBO Foundry principles. OHMI leverages established ontologies to create logically structured representations of microbiomes, microbial taxonomy, host species, host anatomical entities, and HMIs under different conditions and associated study protocols and types of data analysis and experimental results.
Keywords Microbiome  OBO Foundry  Ontology of host-microbiome interactions  Basic Formal Ontology
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