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Scalable [R2]RML engine to create RDF knowledge graphs from heterogeneous data sources.

Project description

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Morph-KGC is an engine that constructs RDF knowledge graphs from heterogeneous data sources with R2RML and RML mapping languages. Morph-KGC is built on top of pandas and it leverages mapping partitions to significantly reduce execution times and memory consumption for large data sources.

Main Features

Installing and Running

PyPi is the fastest way to install Morph-KGC:

pip install morph_kgc

To run the engine you just need to execute the following:

python3 -m morph_kgc config.ini

You can find how to generate the configuration file here.

Wiki

Check the wiki with all the information.

Getting Started

Configuration

Tutorial

Features

Academic Publications

License

FAQ

Authors

Ontology Engineering Group, Universidad Politécnica de Madrid | 2020 - Present

Project details


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