Find out kind of data shapes your RDF dataset instantiates.
Project description
Understand the structure of your RDF data at a glance using automatically built application profiles and spot differences between dataset structures.
An application profile, in this context, is the set of data shapes designed for a particular purpose acting as constraints on how the data are instantiated and so can be used to validate the data.
Fingerprinting is the action of generating, or rather, guessing, the application profile applied to a particular dataset. This is an inductive process of reconstructing the data shape for each class instantiated in the dataset.
Installation
RDF fingerprinter may be installed with pip as follows.
pip install rdf-fingerprinter
Nore that Python version 3.7 or later is required.
Getting started
Licence
RDF Fingerprinter is freely distributable under the terms of the GNU GPLv3
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