Metadata-Version: 1.2
Name: owl2vec-star
Version: 0.2.0
Summary: Embedding OWL ontologies
Home-page: https://github.com/KRR-Oxford/OWL2Vec-Star
Author: Jiaoyan Chen
Author-email: chen00217@gmail.com
License: Apache-2.0 License
Description: ============
        OWL2Vec-Star
        ============
        
        
        .. |pypi|  image:: https://img.shields.io/pypi/v/owl2vec_star.svg
                   :target: https://pypi.python.org/pypi/owl2vec_star
        
        .. |docs|  image:: https://readthedocs.org/projects/owl2vec-star/badge/?version=latest
                   :target: https://owl2vec-star.readthedocs.io/en/latest/?version=latest
                   :alt: Documentation Status
        
        |pypi| |docs|
        
        **OWL2Vec*: Embedding OWL ontologies**
        
        
        * Free software: Apache-2.0 License
        * Documentation: https://owl2vec-star.readthedocs.io.
        
        
        Features
        --------
        
        OWL2Vec* v0.2.0 exposes a CLI with two subcommands, which allows you to perform two main programs.
        
        Standalone
        ~~~~~~~~~~~~~~~~~~~~~~
        
        This command will embed one ontology. It can be configured by the configuration file default.cfg.
        See the examples and comments in default.cfg for the usage.
        
        Running example::
        
            $ owl2vec_star standalone --config_file default.cfg
        
        Note: Different from the experimental codes, the standalone command has implemented all OWL ontology
        relevant procedures in python with Owlready, but it also allows the user to use pre-calculated
        annotations/axioms/entities/projection to generate the corpus.
        
        Standalone Multi
        ~~~~~~~~~~~~~~~~
        
        This command will embed multiple ontologies into one language model, where the documents from
        multiple ontologies will be merged. One use case example is embedding all the conference relevant
        ontologies of the OAEI conference track at once.
        
        Running example::
        
            $ owl2vec_star standalone-multi --config_file default_multi.cfg
        
        Note: Different from the `standalone` command, this command for multiple ontologies does NOT allow
        the pre-calculated or external annotations/axioms/entities/projection.
        
        Publications
        ------------
        
        Main Reference
        ~~~~~~~~~~~~~~
        
        * Jiaoyan Chen, Pan Hu, Ernesto Jimenez-Ruiz, Ole Magnus Holter, Denvar Antonyrajah, and Ian Horrocks.
          **OWL2Vec*: Embedding of OWL ontologies**. Machine Learning, Springer, 2021.
          [`PDF <https://arxiv.org/abs/2009.14654>`_]
          [`@Springer <https://rdcu.be/cmIMh>`_] 
          [`Collection <https://link.springer.com/journal/10994/topicalCollection/AC_f13088dda1f43d317c5acbfdf9439a31>`_]
          [`Codes <https://github.com/KRR-Oxford/OWL2Vec-Star/releases/tag/OWL2Vec-Star-ML-2021-Journal>`__
          for the computed results.]
        
        
        Applications with OWL2Vec*
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~
        - Jiaoyan Chen, Ernesto Jimenez-Ruiz, Ian Horrocks, Denvar Antonyrajah, Ali Hadian, Jaehun Lee.
          **Augmenting Ontology Alignment by Semantic Embedding and Distant Supervision**.
          European Semantic Web Conference, ESWC 2021.
          [`PDF <https://openaccess.city.ac.uk/id/eprint/25810/1/ESWC2021_ontology_alignment_LogMap_ML.pdf>`__]
          [`LogMap Matcher work <https://github.com/ernestojimenezruiz/logmap-matcher/>`__]
        - Ashley Ritchie, Jiaoyan Chen, Leyla Jael Castro, Dietrich Rebholz-Schuhmann, Ernesto Jiménez-Ruiz.
          **Ontology Clustering with OWL2Vec\***.
          DeepOntonNLP ESWC Workshop 2021.
          [`PDF <https://openaccess.city.ac.uk/id/eprint/25933/1/OntologyClusteringOWL2Vec_DeepOntoNLP2021.pdf>`__]
        
        Preliminary Publications
        ~~~~~~~~~~~~~~~~~~~~~~~~
        - Ole Magnus Holter, Erik Bryhn Myklebust, Jiaoyan Chen and Ernesto Jimenez-Ruiz.
          **Embedding OWL ontologies with OWL2Vec**.
          International Semantic Web Conference.
          Poster & Demos. 2019.
          [`PDF <https://www.cs.ox.ac.uk/isg/TR/OWL2vec_iswc2019_poster.pdf>`__]
        - Ole Magnus Holter. **Semantic Embeddings for OWL 2 Ontologies**.
          MSc thesis, University of Oslo. 2019.
          [`PDF <https://www.duo.uio.no/bitstream/handle/10852/69078/thesis_ole_magnus_holter.pdf>`__]
          [`GitLab <https://gitlab.com/oholter/owl2vec>`__]
        
        
        Case Studies
        ------------
        Data and codes for class membership prediction on the Healthy Lifestyles (HeLis) ontology,
        and class subsumption prediction on the food ontology FoodOn and the Gene Ontology (GO), are under the
        folder `case_studies/`.
        
        
        Credits
        -------
        Code under `rdf2vec/`, which mainly implement walking strategies over RDF graphs,
        is derived from `pyRDF2Vec`_ (version 0.0.3, last access: 03/2020).
        
        This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
        Many thanks to `Vincenzo Cutrona <https://github.com/vcutrona>`_ for preparing this package.
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        .. _`pyRDF2Vec`: https://github.com/IBCNServices/pyRDF2Vec
        
        
        =======
        History
        =======
        
        0.2.0 (2021-08-04)
        ------------------
        
        * First release on PyPI.
        
Keywords: owl2vec_star
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.7, <3.9
