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diff --git a/python-owlready2.spec b/python-owlready2.spec new file mode 100644 index 0000000..13a7c6d --- /dev/null +++ b/python-owlready2.spec @@ -0,0 +1,126 @@ +%global _empty_manifest_terminate_build 0 +Name: python-Owlready2 +Version: 0.41 +Release: 1 +Summary: A package for ontology-oriented programming in Python: load OWL 2.0 ontologies as Python objects, modify them, save them, and perform reasoning via HermiT. Includes an optimized RDF quadstore. +License: LGPLv3+ +URL: https://bitbucket.org/jibalamy/owlready2 +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/39/38/a1d1a8a67c083131599382596a3e8b1a37abd3644cf80dbec15181640c26/Owlready2-0.41.tar.gz +BuildArch: noarch + + +%description +Owlready2 is a module for ontology-oriented programming in Python 3. It can manage ontologies and knwoledge graphs, and includes an optimized RDF/OWL quadstore. +Owlready2 can: + - Import OWL 2.0 ontologies in NTriples, RDF/XML or OWL/XML format + - Export OWL 2.0 ontologies to NTriples or RDF/XML + - Manipulates ontology classes, instances and properties transparently, as if they were normal Python objects + - Add Python methods to ontology classes + - Perform automatic classification of classes and instances, using the HermiT or Pellet reasoner (included) + - Load DBpedia or UMLS (for medical terminology, using the integrated PyMedTermino2 submodule) + - Native support for optimized SPARQL queries + - Tested up to 1 billion of RDF triples! (but can potentially support more) + - In addition, the quadstore is compatible with the RDFlib Python module + - Finally, Owlready2 can also be used as an ORM (Object-Relational mapper) -- as a graph/object database, it beats Neo4J, MongoDB, SQLObject and SQLAlchemy in terms of performances +Owlready has been created by Jean-Baptiste Lamy at the LIMICS reseach lab. +It is available under the GNU LGPL licence v3. +If you use Owlready in scientific works, **please cite the following article**: + **Lamy JB**. + `Owlready: Ontology-oriented programming in Python with automatic classification and high level constructs for biomedical ontologies. <http://www.lesfleursdunormal.fr/_downloads/article_owlready_aim_2017.pdf>`_ + **Artificial Intelligence In Medicine 2017**;80:11-28 +In case of troubles, questions or comments, please use this Forum/Mailing list: http://owlready.306.s1.nabble.com + +%package -n python3-Owlready2 +Summary: A package for ontology-oriented programming in Python: load OWL 2.0 ontologies as Python objects, modify them, save them, and perform reasoning via HermiT. Includes an optimized RDF quadstore. +Provides: python-Owlready2 +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-Owlready2 +Owlready2 is a module for ontology-oriented programming in Python 3. It can manage ontologies and knwoledge graphs, and includes an optimized RDF/OWL quadstore. +Owlready2 can: + - Import OWL 2.0 ontologies in NTriples, RDF/XML or OWL/XML format + - Export OWL 2.0 ontologies to NTriples or RDF/XML + - Manipulates ontology classes, instances and properties transparently, as if they were normal Python objects + - Add Python methods to ontology classes + - Perform automatic classification of classes and instances, using the HermiT or Pellet reasoner (included) + - Load DBpedia or UMLS (for medical terminology, using the integrated PyMedTermino2 submodule) + - Native support for optimized SPARQL queries + - Tested up to 1 billion of RDF triples! (but can potentially support more) + - In addition, the quadstore is compatible with the RDFlib Python module + - Finally, Owlready2 can also be used as an ORM (Object-Relational mapper) -- as a graph/object database, it beats Neo4J, MongoDB, SQLObject and SQLAlchemy in terms of performances +Owlready has been created by Jean-Baptiste Lamy at the LIMICS reseach lab. +It is available under the GNU LGPL licence v3. +If you use Owlready in scientific works, **please cite the following article**: + **Lamy JB**. + `Owlready: Ontology-oriented programming in Python with automatic classification and high level constructs for biomedical ontologies. <http://www.lesfleursdunormal.fr/_downloads/article_owlready_aim_2017.pdf>`_ + **Artificial Intelligence In Medicine 2017**;80:11-28 +In case of troubles, questions or comments, please use this Forum/Mailing list: http://owlready.306.s1.nabble.com + +%package help +Summary: Development documents and examples for Owlready2 +Provides: python3-Owlready2-doc +%description help +Owlready2 is a module for ontology-oriented programming in Python 3. It can manage ontologies and knwoledge graphs, and includes an optimized RDF/OWL quadstore. +Owlready2 can: + - Import OWL 2.0 ontologies in NTriples, RDF/XML or OWL/XML format + - Export OWL 2.0 ontologies to NTriples or RDF/XML + - Manipulates ontology classes, instances and properties transparently, as if they were normal Python objects + - Add Python methods to ontology classes + - Perform automatic classification of classes and instances, using the HermiT or Pellet reasoner (included) + - Load DBpedia or UMLS (for medical terminology, using the integrated PyMedTermino2 submodule) + - Native support for optimized SPARQL queries + - Tested up to 1 billion of RDF triples! (but can potentially support more) + - In addition, the quadstore is compatible with the RDFlib Python module + - Finally, Owlready2 can also be used as an ORM (Object-Relational mapper) -- as a graph/object database, it beats Neo4J, MongoDB, SQLObject and SQLAlchemy in terms of performances +Owlready has been created by Jean-Baptiste Lamy at the LIMICS reseach lab. +It is available under the GNU LGPL licence v3. +If you use Owlready in scientific works, **please cite the following article**: + **Lamy JB**. + `Owlready: Ontology-oriented programming in Python with automatic classification and high level constructs for biomedical ontologies. <http://www.lesfleursdunormal.fr/_downloads/article_owlready_aim_2017.pdf>`_ + **Artificial Intelligence In Medicine 2017**;80:11-28 +In case of troubles, questions or comments, please use this Forum/Mailing list: http://owlready.306.s1.nabble.com + +%prep +%autosetup -n Owlready2-0.41 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-Owlready2 -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 0.41-1 +- Package Spec generated |