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Design and development of a software component that can be applied to the Data Science pipeline (e.g., the addition of semantic understanding to tabular data and use of those semantics in practice).

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ibrahimm02/Knowledge-Graph-Embedding

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To run the Project:

  • Open Knowledge-Graph-Embedding as a project in the IDE

To run the project the entry point is:

  • Main.py. Please run this to generate all the necessary data for task up until Alignment Querying (Subtask OA.3)

To run the Ontology Embeddings (Task Vector) - Subtask Vector.1

  • Navigate to the embeddings folder and open the terminal.
  • pip install setuptools
  • owl2vec_star standalone --config_file default.cfg
  • The output files will be generated in cache/
  • annotations.txt, axioms.txt, entities.txt, outputontology.embeddings, outputontology.embeddings.txt, projection.ttl

To run Subtask Vector.2 & Subtask Vector.3:

  • Navigate to embeddings folder
  • Open New-Embedding.ipynb using Jupyter

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Design and development of a software component that can be applied to the Data Science pipeline (e.g., the addition of semantic understanding to tabular data and use of those semantics in practice).

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