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Combining different points of view on plant descriptions: mapping agricultural plant roles and biological taxa
This article describes our study on the alignment of two complementary knowledge graphs useful in agriculture: the thesaurus of cultivated plants in France named French Crop Usage (FCU) and the French national taxonomic repository TAXREF for fauna, flora, and fungi. FCU describes the usages of plant...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565037/ https://www.ncbi.nlm.nih.gov/pubmed/37829659 http://dx.doi.org/10.3389/frai.2023.1188036 |
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author | Amardeilh, Florence Aubin, Sophie Bernard, Stephan Bravo, Sonia Bossy, Robert Faron, Catherine Michel, Franck Raphel, Juliette Roussey, Catherine |
author_facet | Amardeilh, Florence Aubin, Sophie Bernard, Stephan Bravo, Sonia Bossy, Robert Faron, Catherine Michel, Franck Raphel, Juliette Roussey, Catherine |
author_sort | Amardeilh, Florence |
collection | PubMed |
description | This article describes our study on the alignment of two complementary knowledge graphs useful in agriculture: the thesaurus of cultivated plants in France named French Crop Usage (FCU) and the French national taxonomic repository TAXREF for fauna, flora, and fungi. FCU describes the usages of plants in agriculture: “tomatoes” are crops used for human food, and “grapevines” are crops used for human beverage. TAXREF describes biological taxa and associated scientific names: for example, a tomato species may be “Solanum lycopersicum” or a grapevine species may be “Vitis vinifera”. Both knowledge graphs contain vernacular names of plants but those names are ambiguous. Thus, a group of agricultural experts produced some mappings from FCU crops to TAXREF taxa. Moreover, new RDF properties have been defined to declare those new types of mapping relations between plant descriptions. The metadata for the mappings and the mapping set are encoded with the Simple Standard for Sharing Ontological Mappings (SSSOM), a new model which, among other qualities, offers means to report on provenance of particular interest for this study. The produced mappings are available for download in Recherche Data Gouv, the federated national platform for research data in France. |
format | Online Article Text |
id | pubmed-10565037 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105650372023-10-12 Combining different points of view on plant descriptions: mapping agricultural plant roles and biological taxa Amardeilh, Florence Aubin, Sophie Bernard, Stephan Bravo, Sonia Bossy, Robert Faron, Catherine Michel, Franck Raphel, Juliette Roussey, Catherine Front Artif Intell Artificial Intelligence This article describes our study on the alignment of two complementary knowledge graphs useful in agriculture: the thesaurus of cultivated plants in France named French Crop Usage (FCU) and the French national taxonomic repository TAXREF for fauna, flora, and fungi. FCU describes the usages of plants in agriculture: “tomatoes” are crops used for human food, and “grapevines” are crops used for human beverage. TAXREF describes biological taxa and associated scientific names: for example, a tomato species may be “Solanum lycopersicum” or a grapevine species may be “Vitis vinifera”. Both knowledge graphs contain vernacular names of plants but those names are ambiguous. Thus, a group of agricultural experts produced some mappings from FCU crops to TAXREF taxa. Moreover, new RDF properties have been defined to declare those new types of mapping relations between plant descriptions. The metadata for the mappings and the mapping set are encoded with the Simple Standard for Sharing Ontological Mappings (SSSOM), a new model which, among other qualities, offers means to report on provenance of particular interest for this study. The produced mappings are available for download in Recherche Data Gouv, the federated national platform for research data in France. Frontiers Media S.A. 2023-09-27 /pmc/articles/PMC10565037/ /pubmed/37829659 http://dx.doi.org/10.3389/frai.2023.1188036 Text en Copyright © 2023 Amardeilh, Aubin, Bernard, Bravo, Bossy, Faron, Michel, Raphel and Roussey. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Artificial Intelligence Amardeilh, Florence Aubin, Sophie Bernard, Stephan Bravo, Sonia Bossy, Robert Faron, Catherine Michel, Franck Raphel, Juliette Roussey, Catherine Combining different points of view on plant descriptions: mapping agricultural plant roles and biological taxa |
title | Combining different points of view on plant descriptions: mapping agricultural plant roles and biological taxa |
title_full | Combining different points of view on plant descriptions: mapping agricultural plant roles and biological taxa |
title_fullStr | Combining different points of view on plant descriptions: mapping agricultural plant roles and biological taxa |
title_full_unstemmed | Combining different points of view on plant descriptions: mapping agricultural plant roles and biological taxa |
title_short | Combining different points of view on plant descriptions: mapping agricultural plant roles and biological taxa |
title_sort | combining different points of view on plant descriptions: mapping agricultural plant roles and biological taxa |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565037/ https://www.ncbi.nlm.nih.gov/pubmed/37829659 http://dx.doi.org/10.3389/frai.2023.1188036 |
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