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RDF fingerprinter

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.

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Documentation: https://meaningfy-ws.github.io/rdf-fingerprinter/

Installation

RDF fingerprinter may be installed with pip as follows.

pip install rdf-fingerprinter

Python 3.12 or later is required (tested on 3.12, 3.13 and 3.14).

Upgrading from 0.3? 1.0 needs Python 3.12+, runs on eds4jinja2 2 (pandas 3 / numpy 2) and no longer configures logging when imported: configure it in your application. See the CHANGELOG.

Usage

The easiest way to build a fingerprint of a SPARQL endpoint is by calling the fingeprinting CLI command and write the report in an output folder.

fingerprint -e http://my.sparql.endpoint.com -o my/output/folder

To use the fingerprinter programmatically, see the API Reference.

Development

Requires Poetry, Docker and (for make check-spec) Node.js.

make install                    # Poetry env with the test and lint groups
make check-all                  # lint, types, layers, OpenSpec, unit tests — the gate CI runs
make oxigraph-load-test-data    # in-memory Oxigraph on :7878 with the test graphs
make test-e2e                   # end-to-end tests against it (local only)

See Development.

Contributing

You are more than welcome to help expand and mature this project. We adhere to Apache code of conduct, please follow it in all your interactions on the project.

When contributing to this repository, please first discuss the change you wish to make via issue, email, or any other method with the maintainers of this repository before making a change.

Licence

This project is licensed under Apache License 2.0.

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