I have published a new journal paper:

[j49] Lamy JB, Tsopra R. RainBio: Proportional visualization of large sets in biology. IEEE Transactions on Visualization and Computer Graphics 2019;accepted

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

I have published a new journal paper:

[j48] Lamy JB. Visualizing undirected graphs and symmetric square matrices as overlapping sets: Methods and application to character co-occurrences graphs and matrices in novels and DBpedia. Multimedia Tools and Applications 2019;78(23):33091-33112

I have published a new journal paper:

[j47] Tsopra R, Sedki K, Courtine M, Falcoff H, De Béco A, Madar R, Mechaï F, Lamy JB. Helping GPs to extrapolate guideline recommendations to patients for whom there are no explicit recommendations, through the visualization of drug properties. The example of AntibioHelp® in bacterial diseases. Journal of the American Medical Informatics Association 2019;26(10):1010-1019

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

This is mostly a bugfix release.

Here are the changes:

• Can infer data property values when reasoning with Pellet

• Optimize searches with 'type =', 'subclass_of =', or 'is_a =' parameters

• Add Property.range_iri

• Add _case_sensitive parameter to search()

• Add inverse property support in RDFlib support

• Show Java error message when reasoners crash

• Bugfixes: - Consider inverse property in get_properties() - Fix parsing bug in reasoning with HermiT and infer_property_values = True - Namespace prefix support in RDFlib binding - Fix dupplicates values when a relation involving a property with inverse is asserted in both directions - Better workaround in case of metaclass conflict - Fix 'sqlite3.OperationalError: too many SQL variables' in searches with 'type =', 'subclass_of =', or 'is_a =' parameters

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

I presented my works on the use of rainbow boxes for visualizing quantum algorithm at the International Conference on Information Visualization Theory and Applications (IVAPP) 2019.

The paper, entitled "Dynamic software visualization of quantum algorithms with rainbow boxes", 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 version adds the ability to infer property values (as in Protégé) and to use SWRL rules. It improves class properties and it can import UMLS (still undocumentated!). It also fixes several bugs.

Here are the changes in version 0.14:

• UMLS support (owlready2.pymedtermino2 package)

• Can infer object property values when reasoning (thanks W Zimmer)

• New implementation of property values; use INDIRECT_prop to get indirect values

• Support several class property types : some, only, some + only, and direct relation

• Automatically create defined classes via class properties

• Support anonymous individuals, e.g. Thing(0)

• Optimize search() when only the number of returned elements is used

• Optimize FTS search() when using also non-FTS statements

• Can restrict reasoning to a list of ontologies

• Union searches (i.e. default_world.search(...) | default_world.search(...))

• Bugfixes: - Fix functional class properties with inheritance - Fix dupplicated instance list restrictions when calling close_world(ontology) - Fix use of '*' in search - Fix synchronization, using contextvars for global variables

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

Balazar Brothers is a fun 3D puzzle game, for Linux.

The game was designed 12 years ago, and was no longer available... until today! After Slune, now Balazar Brothers is updated for recent computers and systems.

Follow the install instructions and enjoy!

Slune is a racing game, with a campaign about AIDS in Africa, for Linux.

The game was designed about 15 years ago, and was no longer available... until today! Here is a corrected version of Slune and the Soya 3D engine, that can run on recent computers and systems... ready for free game retro-gaming!

Follow the install instructions and enjoy!

I have published a new journal paper:

[j43] Lamy JB, Sekar B, Guezennec G, Bouaud J, Séroussi B. Explainable artificial intelligence for breast cancer: a visual case-based reasoning approach. Artificial Intelligence in Medicine 2019;94:42-53

éClaircie is the static, cloud-less and anti-tracing blog engine used by the Flower of Evidence. This third version éClaircie remove the dependence to Sphinx which caused many problems due to the many incompatible changes and the poor multilingual search support in Sphinx.

You can download the new version here: Download at PyPI.