The Epilepsy Ontology: a community-based ontology tailored for semantic interoperability and text mining.


Journal

Bioinformatics advances
ISSN: 2635-0041
Titre abrégé: Bioinform Adv
Pays: England
ID NLM: 9918282081306676

Informations de publication

Date de publication:
2023
Historique:
received: 01 10 2022
revised: 04 01 2023
accepted: 21 03 2023
medline: 6 4 2023
entrez: 5 4 2023
pubmed: 6 4 2023
Statut: epublish

Résumé

Epilepsy is a multifaceted complex disorder that requires a precise understanding of the classification, diagnosis, treatment and disease mechanism governing it. Although scattered resources are available on epilepsy, comprehensive and structured knowledge is missing. In contemplation to promote multidisciplinary knowledge exchange and facilitate advancement in clinical management, especially in pre-clinical research, a disease-specific ontology is necessary. The presented ontology is designed to enable better interconnection between scientific community members in the epilepsy domain. The Epilepsy Ontology (EPIO) is an assembly of structured knowledge on various aspects of epilepsy, developed according to Basic Formal Ontology (BFO) and Open Biological and Biomedical Ontology (OBO) Foundry principles. Concepts and definitions are collected from the latest International League against Epilepsy (ILAE) classification, domain-specific ontologies and scientific literature. This ontology consists of 1879 classes and 28 151 axioms (2171 declaration axioms, 2219 logical axioms) from several aspects of epilepsy. This ontology is intended to be used for data management and text mining purposes. The current release of the ontology is publicly available under a Creative Commons 4.0 License and shared via http://purl.obolibrary.org/obo/epso.owl and is a community-based effort assembling various facets of the complex disease. The ontology is also deposited in BioPortal at https://bioportal.bioontology.org/ontologies/EPIO. Supplementary data are available at

Identifiants

pubmed: 37016683
doi: 10.1093/bioadv/vbad033
pii: vbad033
pmc: PMC10067149
doi:

Types de publication

Journal Article

Langues

eng

Pagination

vbad033

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press.

Références

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pubmed: 24730690
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pubmed: 23686934
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Auteurs

Astghik Sargsyan (A)

Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), 53754 Sankt Augustin, Germany.
Bonn-Aachen International Center for Information Technology (B-IT), University of Bonn, 53113 Bonn, Germany.

Philipp Wegner (P)

Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), 53754 Sankt Augustin, Germany.

Stephan Gebel (S)

Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), 53754 Sankt Augustin, Germany.

Abish Kaladharan (A)

Causality Biomodels, Kinfra Hi-Tech Park, Kalamassery, Cochin 683503, Kerala, India.

Priya Sethumadhavan (P)

Causality Biomodels, Kinfra Hi-Tech Park, Kalamassery, Cochin 683503, Kerala, India.

Vanessa Lage-Rupprecht (V)

Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), 53754 Sankt Augustin, Germany.

Johannes Darms (J)

German National Library of Medicine (ZB MED)-Information Centre for Life Sciences, 53115 Bonn, Germany.

Bruce Schultz (B)

Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), 53754 Sankt Augustin, Germany.

Jürgen Klein (J)

Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), 53754 Sankt Augustin, Germany.

Marc Jacobs (M)

Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), 53754 Sankt Augustin, Germany.

Sumit Madan (S)

Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), 53754 Sankt Augustin, Germany.

Martin Hofmann-Apitius (M)

Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), 53754 Sankt Augustin, Germany.
Bonn-Aachen International Center for Information Technology (B-IT), University of Bonn, 53113 Bonn, Germany.

Alpha Tom Kodamullil (AT)

Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), 53754 Sankt Augustin, Germany.
Causality Biomodels, Kinfra Hi-Tech Park, Kalamassery, Cochin 683503, Kerala, India.

Classifications MeSH