owlrl 7.1.4

A simple implementation of the OWL2 RL Profile, as well as a basic RDFS inference, on top of RDFLib. Based mechanical forward chaining.

OWL-RL

A simple implementation of the OWL2 RL Profile, as well as a basic RDFS inference, on top of RDFLib, based on forward chaining.

This package is a Python library that also contains a couple of scripts:

• scripts/RDFConvertService: a CGI script to invoke the library. It may have to be adapted to the local server setup.

• scripts/owlrl: a script that can be run locally on to transform a file into RDF (on the standard output). Run the script with -h to get the available flags.

Installation

This package requires RDFLib 7.1.3 as its only dependency and it can be installed from the Python Package index in the usual way:

pip install owlrl

or

poetry add owlrl

Use

This package can run inference according to RDFS and/or OWL-RL.

For details on RDFS, see the RDF Semantics Specification; for OWL 2 RL, see the OWL 2 Profile specification.

View the OWL-RL documentation online: http://owl-rl.readthedocs.io/

License

This software is released under the W3C© SOFTWARE NOTICE AND LICENSE. See LICENSE.txt.

Support & Contacts

For general “how do I…” queries, please use https://stackoverflow.com and tag your question with rdflib. Existing questions:

• https://stackoverflow.com/questions/tagged/rdflib

If you want to contact the rdflib maintainers, please do so via:

• the rdflib-dev mailing list: https://groups.google.com/group/rdflib-dev

• the chat, which is available at gitter or via matrix #RDFLib_rdflib:gitter.im

Development

Changes

To view the changelog for this software library, see CHANGELOG.rst.

Release Procedure

• update all the version numbers

  • pyproject.toml

  • README.rst

• remove the current dist/ dir

• build the new distribution

• test the metadata rendering

• test push it to PyPI

• actually push it to PyPI

rm -vf dist/*
poetry build
bsdtar -xvf dist/owlrl-*.whl -O '*/METADATA' | view -
bsdtar -xvf dist/owlrl-*.tar.gz -O '*/PKG-INFO' | view -

poetry publish --dry-run
poetry publish -u __token__ -p <OWL-RL PyPI Token>

• commit the version update

• tag it

• push the commits & tag to GitHub

• make a GitHub release

  • reuse the CHANGELOG entry for the release