A module 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.
Project description
Owlready2 is a module for ontology-oriented programming in Python 3, including an optimized RDF 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 reasoner.
In addition, the quadstore is compatible with the RDFlib Pyton module, which can be used to perform SPARQL queries.
Owlready has been created by Jean-Baptiste Lamy at the LIMICS reseach lab. It is available under the GNU LGPL licence v3. In case of trouble, please contact Jean-Baptiste Lamy <jean-baptiste.lamy @ univ-paris13 . fr>
LIMICS University Paris 13, Sorbonne Paris Cité Bureau 149 74 rue Marcel Cachin 93017 BOBIGNY FRANCE
What can I do with Owlready2?
Load an ontology from a local repository, or from Internet:
>>> from owlready2 import * >>> onto_path.append("/path/to/your/local/ontology/repository") >>> onto = get_ontology("http://www.lesfleursdunormal.fr/static/_downloads/pizza_onto.owl") >>> onto.load()
Create new classes in the ontology, possibly mixing OWL constructs and Python methods:
>>> class NonVegetarianPizza(onto.Pizza): ... equivalent_to = [ ... onto.Pizza ... & ( onto.has_topping.some(onto.MeatTopping) ... | onto.has_topping.some(onto.FishTopping) ... ) ] ... def eat(self): print("Beurk! I'm vegetarian!")
Access ontology class, and create new instances / individuals:
>>> onto.Pizza pizza_onto.Pizza >>> test_pizza = onto.Pizza("test_pizza_owl_identifier") >>> test_pizza.has_topping = [ onto.CheeseTopping(), ... onto.TomatoTopping(), ... onto.MeatTopping () ]
Export to RDF/XML file:
>>> test_onto.save()
Perform reasoning, and classify instances and classes:
>>> test_pizza.__class__ onto.Pizza >>> # Execute HermiT and reparent instances and classes >>> sync_reasoner() >>> test_pizza.__class__ onto.NonVegetarianPizza >>> test_pizza.eat() Beurk! I'm vegetarian !
For more documentation, look at the doc/ directories in the source.
Changelog
version 1 - 0.2
Fix sync_reasonner and Hermit call under windows (thanks Clare Grasso)
version 1 - 0.3
Add warnings
Accepts ontologies files that do not ends with ‘.owl’
Fix a bug when loading ontologies including concept without a ‘#’ in their IRI
version 2 - 0.1
Full rewrite, including an optimized quadstore
version 2 - 0.2
Implement RDFXML parser and generator in Python (no longer use rapper or rdflib)
Property chain support
Add ntriples_diff.py utility
Bugfixes: * Fix breaklines in literal when exporting to NTriples
version 2 - 0.3
Add destroy_entity() global function
Greatly improve performance for individual creation
When searching, allow to use “*” as a jocker for any object
Bugfixes: * Fix nested intersections and unions * Fix boolean * Fix bug when removing parent properties * Fix parsing of rdf:ID * Fix multiple loading of the same ontology whose IRI is modified by OWL file, using an ontology alias table * Fix ClassConstruct.subclasses() * Check for properties with multiple incompatible classes (e.g. ObjectProperty and Annotation Property)
Links
Owlready2 on BitBucket (development repository): https://bitbucket.org/jibalamy/owlready2
Owlready2 on PyPI (Python Package Index, stable release): https://pypi.python.org/pypi/Owlready2
Documentation: http://pythonhosted.org/Owlready2
Forum/Mailing list: http://owlready.8326.n8.nabble.com
Mail me for any comment, problem, suggestion or help !
Jiba – Jean-Baptiste LAMY – jibalamy @ free.fr
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