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virtuoso
View on CRAN: Click
here
Download and install virtuoso package within the R console
Install from CRAN:
install.packages("virtuoso")
Install from Github:
library("remotes")
install_github("cran/virtuoso")
Install by package version:
library("remotes")
install_version("virtuoso", "0.1.8")
Attach the package and use:
library("virtuoso")
Maintained by
Carl Boettiger
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.virtuoso . https://github.com/ropensci/virtuoso/issues . https://github.com/ropensci/virtuoso . virtuoso results . virtuoso.pdf . virtuoso_0.1.8.tar.gz . virtuoso_0.1.8.zip . virtuoso_0.1.8.zip . virtuoso_0.1.8.zip . virtuoso_0.1.8.tgz . virtuoso_0.1.8.tgz . virtuoso_0.1.8.tgz . virtuoso_0.1.8.tgz . virtuoso_0.1.8.tgz . virtuoso_0.1.8.tgz . virtuoso archive . https://CRAN.R-project.org/package=virtuoso .
First Published: 2019-04-06
Latest Update: 2021-11-02
Description:
Provides users with a simple and convenient mechanism to manage and query a 'Virtuoso' database using the 'DBI' (Data-Base Interface) compatible 'ODBC' (Open Database Connectivity) interface. 'Virtuoso' is a high-performance "universal server," which can act as both a relational database, supporting standard Structured Query Language ('SQL') queries, while also supporting data following the Resource Description Framework ('RDF') model for Linked Data. 'RDF' data can be queried using 'SPARQL' ('SPARQL' Protocol and 'RDF' Query Language) queries, a graph-based query that supports semantic reasoning. This allows users to leverage the performance of local or remote 'Virtuoso' servers using popular 'R' packages such as 'DBI' and 'dplyr', while also providing a high-performance solution for working with large 'RDF' 'triplestores' from 'R.' The package also provides helper routines to install, launch, and manage a 'Virtuoso' server locally on 'Mac', 'Windows' and 'Linux' platforms using the standard interactive installers from the 'R' command-line.By automatically handling these setup steps, the package can make using 'Virtuoso' considerably faster and easier for a most users to deploy in a local environment. Managing the bulk import of triples from common serializations with a single intuitive command is another key feature of this package.Bulk import performance can be tens to hundreds of times faster than the comparable imports using existing 'R' tools, including 'rdflib' and 'redland' packages.
How to cite:
Carl Boettiger (2019). virtuoso: Interface to 'Virtuoso' using 'ODBC'. R package version 0.1.8, https://cran.r-project.org/web/packages/virtuoso. Accessed 11 Apr. 2025.
Previous versions and publish date:
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Other R packages that virtuoso depends,
imports, suggests or enhances
Complete documentation for virtuoso
Functions, R codes and Examples using
the virtuoso R package
Some associated functions: has_virtuoso . virtuoso-package . vos_configure . vos_connect . vos_delete_db . vos_destroy_all . vos_import . vos_install . vos_kill . vos_list_graphs . vos_log . vos_odbcinst . vos_process . vos_query . vos_set_paths . vos_start . vos_status . vos_uninstall .
Some associated R codes: utilities.R . virtuoso-package.R . virtuoso.R . virtuoso_paths.R . vos_configure.R . vos_connect.R . vos_destroy_all.R . vos_import.R . vos_install.R . vos_install_linux.R . vos_install_osx.R . vos_install_windows.R . vos_kill.R . vos_log.R . vos_odbcinst.R . vos_process.R . vos_query.R . vos_start.R . vos_status.R . vos_uninstall.R . Full virtuoso package functions and examples
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