1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
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
|
