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Description:

nexusforge 0.8.2

Blue Brain Nexus Forge is a domain-agnostic, generic and extensible Python framework enabling
non-expert users to create and manage knowledge graphs by making it easy to:

Discover and reuse available knowledge resources such as ontologies and
schemas to shape, constraint, link and add semantics to datasets.
Build knowledge graphs from datasets generated from heterogenous sources and formats.
Defining, executing and sharing data mappers to transform data from a source format to a
target one conformant to schemas and ontologies.
Interface with various stores offering knowledge graph storage, management and
scaling capabilities, for example Nexus Core store or in-memory store.
Validate and register data and metadata.
Search and download data and metadata from a knowledge graph.

Getting Started
The examples
directory contains many Jupyter Notebooks to get started with
Blue Nexus Forge user features and usage scenarios.
You can run the Getting Started notebooks on Binder by clicking on .
For local execution, make sure that the jupyter notebook|lab is launched
in the same virtual environment where Blue Brain Nexus Forge is installed.
Alternatively, set up a specialized
kernel.
In both cases, please start with the notebook named 00 - Initialization.
It contains instructions for configuring the Forge with:

an example in-memory store and an example schema language,
Blue Brain Nexus as store and W3C SHACL as schema language.

After, it is recommended to run the notebooks following their number (01, 02, …).

Installation
It is recommended to use a virtual environment such as venv or
conda environment.
Stable version
pip install nexusforge
Upgrade to the latest version
pip install --upgrade nexusforge
Development version
pip install git+https://github.com/BlueBrain/nexus-forge

Funding and Acknowledgements
The development of this software was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne (EPFL), from the Swiss government’s ETH Board of the Swiss Federal Institutes of Technology, and from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 785907 (Human Brain Project SGA2).
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