onto-merger 0.1.0

OntoMerger is an ontology alignment library for deduplicating knowledge graph nodes,(i.e. ontology concepts) that represent the *same domain*, e.g. diseases, and **connecting** them to form a single directed acyclic hierarchical graph (DAG) (i.e. an ontology class hierarchy).

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Documentation | External Resources

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OntoMerger is an ontology alignment library for deduplicating knowledge graph nodes,(i.e. ontology concepts) that represent the same domain, e.g. diseases, and connecting them to form a single directed acyclic hierarchical graph (DAG) (i.e. an ontology class hierarchy). The library implements a pipeline that takes nodes, mappings and (disconnected) hierarchies as input and produces node merges and a connected hierarchy. It also provides analysis and data testing for fine tuning the inputs in order to further reduce duplication, as well as to increase connectivity.

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Citing

If you find OntoMerger useful in your work or research, please consider adding the following citation:

@article{ontomerger,
   arxivId = {???},
   author = {Geleta, David and Nikolov, Andriy and O'Donoghue, Mark and Rozemberczki, Benedek 
             and Gogleva, Anna and Tamma, Valentina and Payne, Terry R.},
   month = {june},
   title = {{OntoMerger: An Ontology Integration Library for Deduplicating and Connecting Knowledge Graph Nodes.}},
   url = {https://arxiv.org/abs/2206.02238},
   year = {2022}
}

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Getting Started

The API of onto_merger ...

from onto_merger.pipeline import Pipeline

# initialise the pipeline
pipeline = Pipeline(project_folder_path="../path/to/project")

# run the process
pipeline.run_alignment_and_connection_process()

# view results in "../path/to/project/output/report/index.html"

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Running tests

$ tox -e py

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License

• Apache 2.0 License

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Credit

The Onto Merger logo is based on:

• Galguna Font
• Noun Project Icons