This repository contains our implementation of the ontology matching framework based on representation learning.

Apache License Version 2.0. For more information, please refer to the license.

• Prerequisites :

  • Python, Project Jupyter.
  • Python Libraries: NumPy, SciPy, scikit-learn, Theano, Lasagne, Keras, NLTK, pickle, PyYAML.

• Preprocessed Data:

  • All the data used can be found in data/ directory.
  • In each file, in the data/ directory, there are six different files. Specifically, there is:
    1. A .yaml file that stores the configuration parameters.
    2. A file named training_data contains the training data.
    3. A file name pretrained-wikipedia-pubmed-and-PMC-w2v contains the pre-trained word vectors.
    4. Two files named terms_of_ontology_1 and terms_of_ontology_2 contain the terms of the ontology 1 and ontology 2, respectively.
    5. A file named ground_truth_alignments contains the ground-truth alignments.

• Perform the different ontology matching tasks:

  • Launch the Jupyter Notebook App and execute the Notebook document Ontology_Matching.

• prodromos DOT kolyvakis AT epfl DOT ch