The coevolution of ontologies and knowledge-based analytics in bioinformatics

Robert Hoehndorf

The coevolution of ontologies and knowledge-based analytics in bioinformatics

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

Abstract

I discuss the coevolution of bio-ontologies and analytical bioinformatics methods in response to the evolving landscape of life sciences. I focus on the role of ontologies, in particular the Gene Ontology, in capturing and describing biological knowledge, and the challenges and developments in ontology-based bioinformatics, particularly in light of new computational methods and machine learning. The main theme is the bidirectional influence between how ontologies and bioinformatics methods evolved together, and how ontologies have shaped advancements in the analysis, representation, and understanding of biological data by providing a unifying layer of knowledge.

Original language	English (US)
State	Published - 2022
Event	13th International Conference on Biomedical Ontology, ICBO 2022 - Ann Arbor, United States Duration: Sep 25 2022 → Sep 28 2022

Conference

Conference	13th International Conference on Biomedical Ontology, ICBO 2022
Country/Territory	United States
City	Ann Arbor
Period	09/25/22 → 09/28/22

Bibliographical note

Publisher Copyright:
© 2022 Copyright for this paper by its authors.

Keywords

Artificial Intelligence
bio-ontology
knowledge-based analytics

ASJC Scopus subject areas

General Computer Science

Cite this

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AB - I discuss the coevolution of bio-ontologies and analytical bioinformatics methods in response to the evolving landscape of life sciences. I focus on the role of ontologies, in particular the Gene Ontology, in capturing and describing biological knowledge, and the challenges and developments in ontology-based bioinformatics, particularly in light of new computational methods and machine learning. The main theme is the bidirectional influence between how ontologies and bioinformatics methods evolved together, and how ontologies have shaped advancements in the analysis, representation, and understanding of biological data by providing a unifying layer of knowledge.

KW - Artificial Intelligence

KW - bio-ontology

KW - knowledge-based analytics

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M3 - Paper

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T2 - 13th International Conference on Biomedical Ontology, ICBO 2022

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ER -

The coevolution of ontologies and knowledge-based analytics in bioinformatics

Abstract

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this