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Morph-KGC

Morph-KGC is an engine that constructs RDF and RDF-star knowledge graphs from heterogeneous data sources with the R2RML, RML and RML-star 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

Citing

If you used Morph-KGC in your work, please cite the SWJ paper:

@article{arenas2022morph,
  title   = {{Morph-KGC: Scalable Knowledge Graph Materialization with Mapping Partitions}},
  author  = {Arenas-Guerrero, Julián and Chaves-Fraga, David and Toledo, Jhon and Pérez, María S. and Corcho, Oscar},
  journal = {Semantic Web},
  year    = {2022},
  url     = {http://www.semantic-web-journal.net/system/files/swj3135.pdf}
}

Licenses

Morph-KGC is available under the Apache License 2.0.

The documentation is licensed under CC BY-SA 4.0.

Author

Ontology Engineering Group, Universidad Politécnica de Madrid.

Contributors

See the full list of contributors in GitHub.

OEG UPM