c(
person("Steffen", "Ehrmann",
role = c("aut", "cre"),
email = "steffen.ehrmann@posteo.de",
comment = c(ORCID = "0000-0002-2958-0796")),
person("Arne", "Rümmler",
role = c("aut", "ctb"),
email = "arne.ruemmler@tu-dresden.de",
comment = c(ORCID = "0000-0001-8637-9071"))
)
Provides tools to build and work with an ontology of linked (open)
data in a tidy workflow. It is inspired by the Food and Agrilculture
Organizations (FAO) caliper platform
<https://www.fao.org/statistics/caliper/web/> and
makes use of the Simple Knowledge Organisation System (SKOS).
checkmate, dplyr, httr, magrittr, methods, purrr, readr,
rlang, stringr, tibble, tidyr, tidyselect, rdflib
Steffen Ehrmann [aut, cre] (<https://orcid.org/0000-0002-2958-0796>),
Arne Rümmler [aut, ctb] (<https://orcid.org/0000-0001-8637-9071>)

Functions for reading ontologies into R as lists and handling sets of ontological terms.

Functions for reading ontologies into R as lists and manipulating sets of ontological terms - 'ontologyX: A suite of R packages for working with ontological data', Greene et al 2017 <doi:10.1093/bioinformatics/btw763>.

Functions for reading ontologies into R as lists and manipulating sets of ontological terms.

Functions for Visualising Sets of Ontological Terms
Functions for visualising sets of ontological terms using the graphviz layout system.
ontologyIndex, Rgraphviz, methods, functional, magrittr

Functions for visualising sets of ontological terms using the 'graphviz' layout system.

Create R plots visualising ontological terms and the relationships between them with various graphical options - Greene et al. 2017 <doi:10.1093/bioinformatics/btw763>.

Functions for Calculating Ontological Similarities
Functions for calculating semantic similarities between ontological terms or sets of ontological terms based on term information content and assessing statistical significance of similarity in the context of a collection of sets of ontological terms.

Calculate similarity between ontological terms and sets of ontological terms based on term information content and assess statistical significance of similarity in the context of a collection of terms sets - Greene et al. 2017 <doi:10.1093/bioinformatics/btw763>.