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Owlready2 is a package for ontology-oriented programming in Python. It can load OWL 2.0 ontologies as Python objects, modify them, save them, and perform reasoning via HermiT (included). Owlready2 allows a transparent access to OWL ontologies (contrary to usual Java-based API).
- Class Constructs, Restrictions and Logical Operators
Restrictions can be modified in place (Owlready2 updates the...
- Disjointness, Open and Local Closed World Reasoning
Closing Classes . close_world() also accepts a Class. In...
- Differences Between Owlready Version 1 and 2
Generated Individual names . Owlready 1 permitted to...
- Classes and Individuals
Classes and Individuals (Instances) Creating a Class . A new...
- Properties
Associating Python alias name to Properties . In ontologies,...
- Managing Ontologies
NTriples is a very simple format and is natively supported...
- Class Constructs, Restrictions and Logical Operators
5 kwi 2024 · 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.
This book shows how to use ontologies in Python, with the Owlready2 module developed for ontology-oriented programming. You will start with an introduction and refresher on Python and OWL ontologies. Then, you will dive straight into how to access, create, and modify ontologies in Python.
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.
Results: We developed Owlready, a Python module for a high-level access to OWL ontologies. The paper describes the architecture and the syntax of the module version 2. It details how we integrated the OWL ontology model with the Python object model. The paper provides examples based on Gene Ontology (GO).
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