Owlready is a Python module for ontology-oriented programming. It can load OWL 2.0 ontologies and manipulate them transparently in Python.

Here are the changes:

• Add support for disjoint unions (Class.disjoint_unions)

• Add deepcopy support on class constructs, and automatically deep-copy constructs when needed (i.e. no more OwlReadySharedBlankNodeError)

• Support the creation of blank nodes with RDFlib

The new version be downloaded from PyPI (Python Package Index): https://pypi.python.org/pypi/Owlready2

I presented my works on visual decision support for breast cancer therapy, at the ICABME 2019 congress in Tripoli.

My paper was entitled "Hierarchical visual case-based reasoning for supporting breast cancer therapy". It is available here and the presentation there.

Owlready is a Python module for ontology-oriented programming. It can load OWL 2.0 ontologies and manipulate them transparently in Python.

This new realease fixes several bugs and now includes Pellet 2.3.1 (same version as in Protégé) instead of version 2.4 (which seems to have problems with some SWRL builtins).

Here are the changes:

• Use Pellet 2.3.1 (same version as Protégé) instead of 2.4 (which has a bug in SWRL for many builtin predicates including equals and matches)

• Much faster mangement of annotations on relations

• Bugfixes: - Fix bug on blank node in RDFlib/SPARQL support - Fix bug on blank node deletion in RDFlib/SPARQL support - Fix data loss in Restriction modification - Fix 'no query solution' error in search() - Fix literal support in RDF lists, causing "TypeError: '<' not supported between instances of 'NoneType' and 'int'" when saving ontologies - Fix DifferentFrom SWRL builtin - Fix string parsing in SWRL rules - Fix string and boolean literal representation (str/repr) in SWRL rules - Fix the inverse of subproperties having a symmetric superproperty

The new version be downloaded from PyPI (Python Package Index): https://pypi.python.org/pypi/Owlready2

I have published a new journal paper:

[j49] Séroussi B, Lamy JB, Prebet C, Ngo C, Teixeira L, Ugarriza A, Sekar B, Larburu N, Muro N, Guézennec G, Bouaud J. Une plateforme multimodale d’aide à la décision : Application à la prise en charge du cancer du sein dans le cadre du projet DESIREE. Technique et Science Informatiques (TSI) 2019;accepté

I presented my works on the use of icons for browsing medical terminologies, in particular in pharmacovigilance, at MEDINFO 2019.

My paper was entitled "An iconic approach to the browsing of medical terminologies". It is available here and the presentation there.

And I obtained the Best paper award (first place)!

My French book "Python et les ontologies" has been published by ENI editions.

This 310-pages book describes how to use OWL 2.0 ontologies in Python 3.x, with the Owlready2 Python module for ontology-oriented programming.

More informations (in French) on the editor website:

https://www.editions-eni.fr/livre/python-et-les-ontologies-9782409020223

I plan to translate the book in English in the coming year.

Owlready is a Python module for ontology-oriented programming. It can load OWL 2.0 ontologies and manipulate them transparently in Python.

This new version fix an important bug in UMLS support.

It also stops considering as functional properties associated with exactly-1 or max-1 restrictions. This was intended to be a feature, but was actually often more annoying that desirable. If needed, you can restore the previous behaviour as follows:

import owlready2.prop
owlready2.prop.RESTRICTIONS_AS_FUNCTIONAL_PROPERTIES = True

Here are the changes:

• Add support for undoable destroy_entity()

• Small database optimizations

• No longer treat properties associated with exactly-1 or max-1 restriction as functional properties, returning single values instead of a list

• Bugfixes: - Fix performance bug on UMLS mapping in PyMedTermino

The new version be downloaded from PyPI (Python Package Index): https://pypi.python.org/pypi/Owlready2

Owlready is a Python module for ontology-oriented programming. It can load OWL 2.0 ontologies and manipulate them transparently in Python.

This new version has a better SPARQL support, faster searches, and it adds the "individual.INVERSE_property" syntax. It also supports the new UMLS zipped file format.

Here are the changes:

• Consider symmetric properties as their own inverse properties

• Update Python objects after basic SPARQL update/delete queries (works on user-defined properties, hierarchical properties (type/subclassof) and equivalence properties)

• Add individual.INVERSE_property

• Add Class.INDIRECT_is_a

• INDIRECT_is_a / INDIRECT_is_instance_of now include class contructs. ancestors() has a 'include_constructs' parameter, which defaults to False.

• Add more aliases for XMLSchema datatypes

• Add is_a property to class constructs

• Add bottomObjectProperty and bottomDataProperty

• Support ReflexiveProperties in individual.INDIRECT_property

• Optimize Thing.subclasses()

• Optimize search() with multiple criteria, including those done by PyMedTermino

• Add support for destroy_entity(SWRL_rule)

• Add support for UMLS "metathesaurus" format in addition to "full" format

• Bugfixes: - After reasoning, keep all equivalent classes as parents of individuals (as they may have methods) - Fix IndividualPropertyAtom when creating SWRL rule - Fix SWRL parser - Fix RDF serialization for nested RDF lists - Fix removing inverse property (i.e. Prop.inverse = None) - Fix datetime parsing for date with time zone or milliseconds

The new version be downloaded from PyPI (Python Package Index): https://pypi.python.org/pypi/Owlready2

I presented my works on rainbow boxes at the International Conference Information Visualisation (iV) 2019.

The first paper, entitled "Visual explanation of simple neural networks using interactive rainbow boxes", is available here and the presentation there.

The second paper, entitled "Proportional visualization of genotypes and phenotypes with rainbow boxes: methods and application to sickle cell disease" is available here and the presentation there. It is a joint work with a PhD and colleagues from Senegal and CERPAD.

Owlready is a Python module for ontology-oriented programming. It can load OWL 2.0 ontologies and manipulate them transparently in Python.

This new version fixes the UMLS support under Windows (character encoding problem) in PyMedTermino2. It also prevents the duplication of RDF triples in the quadstore.

Here are the changes:

• Add UNIQUE constraints for preventing dupplicated RDF triples in the quadstore

• Add Individual.INDIRECT_is_a / Individual.INDIRECT_is_instance_of

• Add isinstance_python() (faster than isinstance(), but do not consider equivalent_to relations)

• Bugfixes: - Force UTF-8 encoding when importing UMLS - Be more tolerant when loading OWL file

The new version be downloaded from PyPI (Python Package Index): https://pypi.python.org/pypi/Owlready2

I have published a new journal paper:

[j51] Lamy JB, Tsopra R. RainBio: Proportional visualization of large sets in biology. IEEE Transactions on Visualization and Computer Graphics 2020;26(11):3285-3298

Owlready is a Python module for ontology-oriented programming. It can load OWL 2.0 ontologies and manipulate them transparently in Python.

This new version supports SWRL rule editions and fixes problems in PyMedTermino2.

Here are the changes:

• SWRL rule support

• Allows importing UMLS suppressed terms

• Uncache entities when relaoding an ontology

• Bugfixes: - Fix PyMedTermino2 installation - Fix data property value inferrence with debug = 1 - Fix sort() in LazyList (thanks fiveop!) - Fix World.get() and add World.get_if_loaded() - Add appropriate error message when importing UMLS with Python 3.6 - Fix individuals belonging to multiple, equivalent, classes after reasoning

The new version be downloaded from PyPI (Python Package Index): https://pypi.python.org/pypi/Owlready2

Owlready is a Python module for ontology-oriented programming. It can load OWL 2.0 ontologies and manipulate them transparently in Python.

This new version fix several bugs and supports SPARQL request INSERT and DELETE.

Here are the changes:

• Optimize nested searches

• search(sublclass_of = xxx) now returns xxx itself in the results

• Support "with long_ontology_name as onto" syntax

• In UMLS import, add optional parameters for preventing extraction of attributes, relations, etc

• Support SPARQL INSERT queries

• Optimize Pymedtermino mapping

• Doc for PyMedTermino2

• Bugfixes: - Fix 'Cannot release un-acquired lock' error when reasoning on inconsistent ontologies inside a 'with' statement - Fix bug when loading a property that refers to another property from a quadstore stored on disk - Fix RDF triple suppression with RDFlib when object is a datatype

The new version be downloaded from PyPI (Python Package Index): https://pypi.python.org/pypi/Owlready2