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Evaluation of relevant parameteres of a Knowledge Graph Construction

This repository includes the resources to perform an evaluation over Knowledge Graph Construction Engines (RDFizers) to test how relevant parameters affect to the performance of these tools.

Contents

Folders:

  • data-generator - contains one Jupyter Notebook for each parameter and the generate_data.py that generates the used data for 1k, 3k, 10k and 50k rows.
  • data - Example the sample the generated data for 1k rows
  • mappings - The RML mappings used to construct the Knowledge Graphs
  • results - The corresponding results of the evaluation.

Scripts:

  • reproduce.sh - shell script used to run the evaluation over the RMLMapper-java and SDM-RDFizer engines.

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What are the Parameters that Affect the Construction of a Knowledge Graph?

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