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layout: software | ||
title: SymbiOnt | ||
active: yes | ||
homepage: | ||
source: https://github.com/matentzn/symbiont | ||
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# SymbiOnt: Augmenting and merging ontologies using ontology mappings and knowledge graph embeddings | ||
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No matter how hard we try to reconcile our ontologies -- for example, as part of efforts such as the [OBO Foundry](https://obofoundry.org/) -- | ||
there will always be some level of overlap between them, i.e. the same terms existing in multiple ontologies. | ||
Data is regularly linked to concepts from different (sometimes internal, non-public) ontologies, and this data needs to be integrated – | ||
which means that the different ontologies need to be carefully aligned. | ||
Furthermore, we want to be able to enrich our own ontologies with information (such as synonyms) from and links to other public sources. | ||
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Ontology and Knowledge Graph Matching seeks to find ways to link terms between ontologies, | ||
employing techniques such as string-based matching, graph-based matching or more advanced techniques from Natural Language Processing (NLP). | ||
Recently, Machine Learning (ML) algorithms and Knowledge Graph embeddings have been used to greatly enhance traditional mapping techniques, and we expect a lot more to come here. | ||
Ontology Merging is concerned with combining two ontologies in a way that the resulting whole is consistent, yet richly axiomatised, and uses approaches from formal logic to Bayesian. | ||
Ontology Engineering is the “art” of evolving an ontology in a sustainable way, | ||
for example using design patterns, logical reasoning and more classical visualisation approaches focused on manual curation and automated quality control. | ||
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With SymbiOnt, we bring together techniques from all of the above to provide a fully executable workflow for ontology merging and augmentation. | ||
The goal is to combine tools and techniques in a Docker-based workflow that enables the end-to-end merging and augmentation of ontologies. | ||
For example, we want to be able to combine the many existing disease ontologies and terminologies into a rich coherent framework | ||
and keep them synchronised with minimal human curation effort. | ||
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The SymbiOnt project is led by [Nico Matentzoglu](https://github.com/matentzn). |