rdflib is simply a wrapper around two existing ropensci packages: redland and jsonld, which should be a user-friendly complement to the low-level interface already provided by redland for working with RDF (semantic/linked data).
Package: rdflib
Title: Tools to Manipulate and Query Semantic Data
Version: 0.0.2
Authors@R: person("Carl", "Boettiger",
email = "cboettig@gmail.com",
role = c("aut", "cre", "cph"),
comment=c(ORCID = "http://orcid.org/0000-0002-1642-628X"))
Description: The Resource Description Framework, or 'RDF' is a widely used
data representation model that forms the cornerstone of the
Semantic Web. 'RDF' represents data as a graph rather than
the familiar data table or rectangle of relational databases.
The 'rdflib' package provides a friendly and concise user interface
for performing common tasks on 'RDF' data, such as reading, writing
and converting between the various serializations of 'RDF' data,
including 'rdfxml', 'turtle', 'nquads', 'ntriples', 'trig', and 'json-ld';
creating new 'RDF' graphs, and performing graph queries using 'SPARQL'.
This package wraps the low level 'redland' R package which
provides direct bindings to the 'redland' C library. Additionally,
the package supports the newer and more developer friendly
'JSON-LD' format through the 'jsonld' package. The package
interface takes inspiration from the Python 'rdflib' library.
Depends: R (>= 3.4.1)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/cboettig/rdflib
BugReports: https://github.com/cboettig/rdflib/issues
Imports: redland,
jsonld,
methods,
utils
RoxygenNote: 6.0.1
Suggests: magrittr,
covr,
testthat,
knitr,
rmarkdown,
jsonlite,
httr,
xml2,
jqr,
readr,
dplyr,
lubridate,
DT
VignetteBuilder: knitr
https://github.com/cboettig/rdflib
data extraction, because this package parses scientific data file formats. (specifically, formats already parsed by existing rOpenSci packages). This package also enables graph queries using the SPARQL language, somewhat analogous to the rOpenSci jqr package, but for JSON-LD and other linked data formats.
Anyone working with semantic data, including the wide array of scientific ontologies and knowledge-bases. These include reproducibility-focused ontologies like PROV, and a large number of biological ontologies ranging from genes to traits to environmental features.
As described above, this package overlaps significantly with the redland package, but should be easier to use.
Confirm each of the following by checking the box. This package:
paper.md matching JOSS's requirements with a high-level description in the package root or in inst/.Does R CMD check (or devtools::check()) succeed? Paste and describe any errors or warnings:
Does the package conform to rOpenSci packaging guidelines? Please describe any exceptions:
If this is a resubmission following rejection, please explain the change in circumstances:
If possible, please provide recommendations of reviewers - those with experience with similar packages and/or likely users of your package - and their GitHub user names:
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