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OpenBiodiv-O: ontology of the OpenBiodiv knowledge management system

BACKGROUND: The biodiversity domain, and in particular biological taxonomy, is moving in the direction of semantization of its research outputs. The present work introduces OpenBiodiv-O, the ontology that serves as the basis of the OpenBiodiv Knowledge Management System. Our intent is to provide an...

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Autores principales: Senderov, Viktor, Simov, Kiril, Franz, Nico, Stoev, Pavel, Catapano, Terry, Agosti, Donat, Sautter, Guido, Morris, Robert A., Penev, Lyubomir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774086/
https://www.ncbi.nlm.nih.gov/pubmed/29347997
http://dx.doi.org/10.1186/s13326-017-0174-5
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author Senderov, Viktor
Simov, Kiril
Franz, Nico
Stoev, Pavel
Catapano, Terry
Agosti, Donat
Sautter, Guido
Morris, Robert A.
Penev, Lyubomir
author_facet Senderov, Viktor
Simov, Kiril
Franz, Nico
Stoev, Pavel
Catapano, Terry
Agosti, Donat
Sautter, Guido
Morris, Robert A.
Penev, Lyubomir
author_sort Senderov, Viktor
collection PubMed
description BACKGROUND: The biodiversity domain, and in particular biological taxonomy, is moving in the direction of semantization of its research outputs. The present work introduces OpenBiodiv-O, the ontology that serves as the basis of the OpenBiodiv Knowledge Management System. Our intent is to provide an ontology that fills the gaps between ontologies for biodiversity resources, such as DarwinCore-based ontologies, and semantic publishing ontologies, such as the SPAR Ontologies. We bridge this gap by providing an ontology focusing on biological taxonomy. RESULTS: OpenBiodiv-O introduces classes, properties, and axioms in the domains of scholarly biodiversity publishing and biological taxonomy and aligns them with several important domain ontologies (FaBiO, DoCO, DwC, Darwin-SW, NOMEN, ENVO). By doing so, it bridges the ontological gap across scholarly biodiversity publishing and biological taxonomy and allows for the creation of a Linked Open Dataset (LOD) of biodiversity information (a biodiversity knowledge graph) and enables the creation of the OpenBiodiv Knowledge Management System. A key feature of the ontology is that it is an ontology of the scientific process of biological taxonomy and not of any particular state of knowledge. This feature allows it to express a multiplicity of scientific opinions. The resulting OpenBiodiv knowledge system may gain a high level of trust in the scientific community as it does not force a scientific opinion on its users (e.g. practicing taxonomists, library researchers, etc.), but rather provides the tools for experts to encode different views as science progresses. CONCLUSIONS: OpenBiodiv-O provides a conceptual model of the structure of a biodiversity publication and the development of related taxonomic concepts. It also serves as the basis for the OpenBiodiv Knowledge Management System. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13326-017-0174-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-57740862018-01-26 OpenBiodiv-O: ontology of the OpenBiodiv knowledge management system Senderov, Viktor Simov, Kiril Franz, Nico Stoev, Pavel Catapano, Terry Agosti, Donat Sautter, Guido Morris, Robert A. Penev, Lyubomir J Biomed Semantics Research BACKGROUND: The biodiversity domain, and in particular biological taxonomy, is moving in the direction of semantization of its research outputs. The present work introduces OpenBiodiv-O, the ontology that serves as the basis of the OpenBiodiv Knowledge Management System. Our intent is to provide an ontology that fills the gaps between ontologies for biodiversity resources, such as DarwinCore-based ontologies, and semantic publishing ontologies, such as the SPAR Ontologies. We bridge this gap by providing an ontology focusing on biological taxonomy. RESULTS: OpenBiodiv-O introduces classes, properties, and axioms in the domains of scholarly biodiversity publishing and biological taxonomy and aligns them with several important domain ontologies (FaBiO, DoCO, DwC, Darwin-SW, NOMEN, ENVO). By doing so, it bridges the ontological gap across scholarly biodiversity publishing and biological taxonomy and allows for the creation of a Linked Open Dataset (LOD) of biodiversity information (a biodiversity knowledge graph) and enables the creation of the OpenBiodiv Knowledge Management System. A key feature of the ontology is that it is an ontology of the scientific process of biological taxonomy and not of any particular state of knowledge. This feature allows it to express a multiplicity of scientific opinions. The resulting OpenBiodiv knowledge system may gain a high level of trust in the scientific community as it does not force a scientific opinion on its users (e.g. practicing taxonomists, library researchers, etc.), but rather provides the tools for experts to encode different views as science progresses. CONCLUSIONS: OpenBiodiv-O provides a conceptual model of the structure of a biodiversity publication and the development of related taxonomic concepts. It also serves as the basis for the OpenBiodiv Knowledge Management System. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13326-017-0174-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-18 /pmc/articles/PMC5774086/ /pubmed/29347997 http://dx.doi.org/10.1186/s13326-017-0174-5 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Senderov, Viktor
Simov, Kiril
Franz, Nico
Stoev, Pavel
Catapano, Terry
Agosti, Donat
Sautter, Guido
Morris, Robert A.
Penev, Lyubomir
OpenBiodiv-O: ontology of the OpenBiodiv knowledge management system
title OpenBiodiv-O: ontology of the OpenBiodiv knowledge management system
title_full OpenBiodiv-O: ontology of the OpenBiodiv knowledge management system
title_fullStr OpenBiodiv-O: ontology of the OpenBiodiv knowledge management system
title_full_unstemmed OpenBiodiv-O: ontology of the OpenBiodiv knowledge management system
title_short OpenBiodiv-O: ontology of the OpenBiodiv knowledge management system
title_sort openbiodiv-o: ontology of the openbiodiv knowledge management system
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774086/
https://www.ncbi.nlm.nih.gov/pubmed/29347997
http://dx.doi.org/10.1186/s13326-017-0174-5
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