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).
Project description
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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.
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}
}
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"
Running tests
$ tox -e py
License
Credit
The Onto Merger logo is based on:
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