Query, inspect and visualize knowledge models encoded as RDF/OWL ontologies.
Python toolkit for inspecting linked data knowledge models AKA ontologies or vocabularies.
OntoSpy is a lightweight Python library and command line tool for inspecting and visualizing vocabularies encoded using W3C Semantic Web standards, that is, RDF or any of its dialects (RDFS, OWL, SKOS).
The basic workflow is simple: load a graph by instantiating the Ontospy class with a file containing RDFS, OWL or SKOS definitions. You get back an object that lets you interrogate the ontology. That’s all!
The same functionalities are accessible also via a command line application (ontospy-shell). This is an interactive environment (like a repl) that allows to load ontologies from a local repository, interrogate them and cache them so that they can be quickly reloaded for inspection later on.
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|ontospy-1.9.1-py2.py3-none-any.whl (3.9 MB) Copy SHA256 hash SHA256||Wheel||py2.py3||May 18, 2018|
|ontospy-1.9.1.tar.gz (62.6 kB) Copy SHA256 hash SHA256||Source||None||May 18, 2018|