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.

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 several bugs and performance regressions related to the new quadstore introduced in the previous release.

Here are the changes in version 0.13:

• Bugfixes: - Fix performance regression due to suboptimal index in the quadstore - Fix messing up with IRI ending with a / - Fix error in World cloning - Fix the addition of Thing in class's parent when redefining a class with Thing as the only parent - Fix inverse_resctriction() - Add error message when creating an existent quadstore

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 major version uses a new quadstore, with better performances, and has been tested up to 200 millions of RDF triplets (can load DBpedia!). PostgresQL support has been dropped because its interest was very limited (performances were poor compared to Sqlite3).

Here are the changes in version 0.12:

• New quadstore

• Numerical search (NumS, e.g. all patients with age > 65)

• Nested searches

• Synchronization for multithreading support

• Add Class.inverse_restrictions() and Class.direct_instances()

• Drop PostgresQL support (little interest: more complex and slower than Sqlite3)

• Bugfixes: - Fix call to _get_by_storid2 - Fix rdfs_subclassof in doc - Fix FTS triggers - Fix boolean in RDFlib / SPARQL - Fix bug when destroying an AnnotationProperty

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 brings two major new features: the support for Pellet reasoner and the optimized full-text search.

Here are the changes in version 0.11:

• Optimized Full-Text Search

• Support Pellet reasoner in addition to HermiT

• Support loading of huge OWL files (incremental load)

• Use Class.property.indirect() for indirect Class property (instead of Class.property)

• Add reload and reload_if_newer parameters to Ontology.load()

• search() is now much faster on properties that have inverse

• Add shortcut for SOME ConstrainedDatatype: e.g. age >= 65

• Bugfixes: - Fix creation of an individual that already exists in the quadstore - Fix missing import of EntityClass in class_construct.py - Fix World.save() with RDF/XML format - Fix Thing.subclasses() and Thing.descendants() - Fix ontology's update time for ontologies created de novo in Python with Owlready - Fix reasoning when asserting new parents with equivalent classes

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 fixes many bugs and adds the support of ontology metadata. It also introduces the use of Cython, for improving performances when reading RDF/XML and OWL/XML files. Owlready2 is now able to read these files as fast as Java !

Here are the changes in version 0.10:

• Add Ontology.metadata for adding/querying ontology metadata

• Allows multiple individual creations with the same name/IRI, now returning the same individuals

• Add OwlReadyInconsistentOntologyError and Word.inconsistent_classes()

• Implement RDF/XML and OWL/XML parsing in Cython (25% speed boost for parsing)

• Small optimization

• Extend individual.prop.indirect() to include relations asserted at the class level

• Add .query_owlready() method to RDF graph

• Bugfixes: - Fix reasoning when obtaining classes equivalent to nothing - Fix World creation with backend parameters - Fix error when adding property at the class definition level - Fix loading of ontology files with no extension from onto_path - Fix properties defined with type 'RDF Property' and subproperty of 'OWL Data/Object/Annotation Property' - Support old SQLite3 versions that do not accept WITHOUT ROWID - Fix reference to undeclared entities (they were replaced by None, now by their IRI) - Fix loading and saving ontologies whose base IRI ends with / - Fix RDF query using string

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

I have published a new journal paper:

[j42] Sekar B, Lamy JB, Larburu N, Seroussi B, Guézennec G, Bouaud J, Muro N, Wang H, Liu J. Case-based decision support system for breast cancer management. International Journal of Computational Intelligence Systems 2018;12(1):28-38

Cerealizer 0.8.2 is out!

This is a new bugfix release for pip. Get it here: https://pypi.org/project/Cerealizer/

I presented my works on rainbow boxes at the Information Visualisation (iV) 2018 conference.

The first paper, "A new diagram for amino acids: User study comparing rainbow boxes to Venn/Euler diagram", is available here and the presentation there.

The second paper, "Visualizing symmetric square matrices with rainbow boxes: methods and application to character co-occurrence matrices in literary texts", is available here and the presentation there. And this second paper win a Best Paper award!

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 allows the use of PostgresQL instead of SQLite3 (however, performances are usually lower). It also facilitate the access to SOME restrictions on classes, using the dotted notation "class.property".

Here are the changes in version 0.9:

• PostgresQL backend (in addition to SQLite3)

• Add 'exclusive = False' option for SQLite3 backend (slower, but allows multiple uses)

• Use unique index in sqlite3 quadstore on resources table

• Optimize sqlite3 quadstore by caching IRI dict (5% faster)

• Add == support for class construct

• Add get_namespace() support on World

• Add 'existential restrictions as class properties' feature

• Bugfixes: - Fix imported ontologies - Fix saving ontologies in onto_path - Fix clear() on CallbackList - Fix bug in Class IRI in ontologies whose base IRI ends with a / - Fix imported ontologies in ontologies whose base IRI ends with a /

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

This big table summarize 5 notations used with formal ontologies in OWL: description logics, the syntax of the Protégé editor, the syntax of Owlready2 in Python, and the semantics in first-order logic and in set formula. Keep on hand when working on formal ontologies!

You can download the great table of ontologies.

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 in versions 0.6, 0.7 and 0.8 (the first two have lasted only a few hours):

• Add set_datatype_iri() global function for associating a Python datatype to an IRI

• Add nquads ontology format (useful for debugging)

• Add support for dir() on individuals

• Add support for ontology using https: protocol (thanks Samourkasidis Argyrios)

• Add observe module (for registering callback when the ontology is modified)

• Improve docs

• Bugfixes: - Align Python floats with xsd:decimal rather than xsd:double, finally, because decimal accepts int too - Fix Class.instances() so as it returns instances of subclasses (as indicated in the doc) - Fix direct assignation to Ontology.imported_ontologies - Fix a bug in reasoning, when adding deduced facts between one loaded and one non-loaded entity - Fix search(prop = "value") when value is a string and the ontology uses localized string

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

I have published a new journal paper:

[j40] Tsopra R, Lamy JB, Sedki K. Using preference learning for detecting inconsistencies in clinical practice guidelines: methods and application to antibiotherapy. Artificial Intelligence in Medicine 2018;89:24-33, IMIA Yearbook 2019 best paper in decision support

I presented my works about the design of a mapping between VCM icons and the MedDRA terminology at the MIE 2018 conference.

The paper "Combining Semantic and Lexical Methods for Mapping MedDRA to VCM Icons" is abailable here and the presentation there.