A triplestore wrapper for Python.
Project description
Triplestore wrapper for Python providing a simple and consistent interface to a range of triplestore backends
Tripper
Getting started
Basic concepts
Tripper provides a simple and consistent interface to a range of triplestore backends. It strives for simplicity and is modelled after rdflib (with a few simplifications).
In Tripper:
-
All IRIs are represented by Python strings. Example:
https://w3id.org/emmo#Metre -
Blank nodes are strings starting with
_:. Example:_:bnode1 -
Literals are constructed with
tripper.Literal. Example:tripper.Literal(3.14, datatype=XSD.float)
To make it easy to work with IRIs, provide Tripper a set of pre-defined namespaces, like XSD.float.
New namespaces can be defined with the tripper.Namespace class.
A triplestore wrapper is created with the tripper.Triplestore class.
Sub-packages
Additional functionality beyond interfacing triplestore backends is provided by specialised sub-package:
- tripper.datadoc: An API for data documentation.
- tripper.units: Working with units and quantities defined in ontologies.
- tripper.mappings: Traverse mappings stored in the triplestore and find possible mapping routes.
- tripper.convert: Convert between RDF and other data representations.
Available backends
The following backends are currently available, either in Tripper or other packages.
| Backend name | Provided by | Requirements | Comment |
|---|---|---|---|
| rdflib | tripper | rdflib | In-memory rdflib triplestore supporting all features. |
| ontopy | tripper | EMMOntoPy | Backend for EMMOntoPy. In-memory. |
| sparqlwrapper | tripper | sparqlwrapper | Generic backend for all triplestores supported by sparqlwrapper. |
| collection | tripper | DLite-Python | Backend to a DLite collection. |
| graphdb | tripper | sparqlwrapper | Backend to GraphDB. |
| fuseki | PyBackTrip | sparqlwrapper | Backend to fuseki. |
| stardog | PyBackTrip | sparqlwrapper,pystardog | Backend to StarDog. |
Installation
Tripper has by itself no dependencies outside the standard library, but the triplestore backends may have specific dependencies.
The package can be installed from PyPI using pip.
A minimal installation can be done with
pip install tripper
but typically, you would also like to install the requirements needed by the backends, the tripper sub-packages and extra features. The requirements for the backends are listed in the table above, while sub-packages and extra features are enabled by specifying one or more of the "extras" listed in the table below when installing Tripper.
For example, the following command will install Tripper with the tripper.datadoc sub-package and the rdflib backend enabled:
pip install tripper[datadoc] rdflib
Developers should install Tripper with the dev extras and enable pre-commit:
pip install tripper[dev]
pre-commit install # Enable pre-commit and installing hooks
| Extras | Description of dependencies | Implies |
|---|---|---|
| units | Required by the tripper.units sub-package. | |
| mappings | Required by the tripper.mappings sub-package. | units |
| datadoc | Required by the tripper.datadoc sub-package. | mappings |
| backends | Installs dependencies for all backends | |
| testing | For testing. | datadoc,backends |
| docs | For generation of documentation | testing |
| dev | For developers. Installs all dependencies, including pre-commit. | dev |
License and copyright
All files in this repository are licensed under the MIT license. If not stated otherwise in the top of the files, they have copyright © 2022 SINTEF.
Acknowledgements
We gratefully acknowledge the following projects for supporting the development of Tripper:
- OntoTrans (2020-2024) that receives funding from the European Union's Horizon 2020 Research and Innovation Programme, under Grant Agreement n. 862136.
- OpenModel (2021-2025) that receives funding from the European Union's Horizon 2020 Research and Innovation Programme, under Grant Agreement n. 953167.
- SFI PhysMet (2020-2028) funded by Forskningsrådet and Norwegian industry partners.
- DOME 4.0 (2021-2025) that receives funding from the European Union's Horizon 2020 Research and Innovation Programme, under Grant Agreement n. 953163.
- VIPCOAT (2021-2025) that receives funding from the European Union's Horizon 2020 Research and Innovation Programme, under Grant Agreement n. 952903.
- MEDIATE (2022-2025) that receives funding from the RCN, Norway; FNR, Luxenburg; SMWK Germany via the M-era.net programme, project 9557,
- MatCHMaker (2022-2026) that receives funding from the European Union's Horizon 2020 Research and Innovation Programme, under Grant Agreement n. 101091687.
- PINK (2024-2027) that receives funding from the European Union's Horizon 2020 Research and Innovation Programme, under Grant Agreement n. 101137809.
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