EPPO ontology: a semantic-driven approach for plant and pest codes representation
The agricultural industry and regulatory organizations define strategies and build tools and products for plant protection against pests. To identify different plants and their related pests and avoid inconsistencies between such organizations, an agreed and shared classification is necessary. In th...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-06-01
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| Series: | Frontiers in Artificial Intelligence |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2023.1131667/full |
| _version_ | 1797800710098649088 |
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| author | Aarón Ayllón-Benitez José Antonio Bernabé-Diaz Paola Espinoza-Arias Iker Esnaola-Gonzalez Delphine S. A. Beeckman Bonnie McCaig Kristin Hanzlik Toon Cools Carlos Castro Iragorri Nicolás Palacios |
| author_facet | Aarón Ayllón-Benitez José Antonio Bernabé-Diaz Paola Espinoza-Arias Iker Esnaola-Gonzalez Delphine S. A. Beeckman Bonnie McCaig Kristin Hanzlik Toon Cools Carlos Castro Iragorri Nicolás Palacios |
| author_sort | Aarón Ayllón-Benitez |
| collection | DOAJ |
| description | The agricultural industry and regulatory organizations define strategies and build tools and products for plant protection against pests. To identify different plants and their related pests and avoid inconsistencies between such organizations, an agreed and shared classification is necessary. In this regard, the European and Mediterranean Plant Protection Organization (EPPO) has been working on defining and maintaining a harmonized coding system (EPPO codes). EPPO codes are an easy way of referring to a specific organism by means of short 5 or 6 letter codes instead of long scientific names or ambiguous common names. EPPO codes are freely available in different formats through the EPPO Global Database platform and are implemented as a worldwide standard and used among scientists and experts in both industry and regulatory organizations. One of the large companies that adopted such codes is BASF, which uses them mainly in research and development to build their crop protection and seeds products. However, extracting the information is limited by fixed API calls or files that require additional processing steps. Facing these issues makes it difficult to use the available information flexibly, infer new data connections, or enrich it with external data sources. To overcome such limitations, BASF has developed an internal EPPO ontology to represent the list of codes provided by the EPPO Global Database as well as the regulatory categorization and relationship among them. This paper presents the development process of this ontology along with its enrichment process, which allows the reuse of relevant information available in an external knowledge source such as the NCBI Taxon. In addition, this paper describes the use and adoption of the EPPO ontology within the BASF's Agricultural Solutions division and the lessons learned during this work. |
| first_indexed | 2024-03-13T04:39:23Z |
| format | Article |
| id | doaj.art-740c233cba574754b8d54f68dd2d0df3 |
| institution | Directory Open Access Journal |
| issn | 2624-8212 |
| language | English |
| last_indexed | 2024-03-13T04:39:23Z |
| publishDate | 2023-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Artificial Intelligence |
| spelling | doaj.art-740c233cba574754b8d54f68dd2d0df32023-06-19T06:31:42ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122023-06-01610.3389/frai.2023.11316671131667EPPO ontology: a semantic-driven approach for plant and pest codes representationAarón Ayllón-Benitez0José Antonio Bernabé-Diaz1Paola Espinoza-Arias2Iker Esnaola-Gonzalez3Delphine S. A. Beeckman4Bonnie McCaig5Kristin Hanzlik6Toon Cools7Carlos Castro Iragorri8Nicolás Palacios9BASF Digital Solutions, Madrid, SpainBASF Digital Solutions, Madrid, SpainBASF Digital Solutions, Madrid, SpainBASF Digital Solutions, Madrid, SpainBASF Belgium Coordination Center CommV, Innovation Center Gent, Ghent, BelgiumBASF Corporation, Raleigh, NC, United StatesBASF SE Data Management and Data Governance, Global Research Services APR/HP, Limburgerhof, GermanyTalentBay, Brussels, BelgiumLinking Data SAS, Bogotá, ColombiaLinking Data SAS, Bogotá, ColombiaThe agricultural industry and regulatory organizations define strategies and build tools and products for plant protection against pests. To identify different plants and their related pests and avoid inconsistencies between such organizations, an agreed and shared classification is necessary. In this regard, the European and Mediterranean Plant Protection Organization (EPPO) has been working on defining and maintaining a harmonized coding system (EPPO codes). EPPO codes are an easy way of referring to a specific organism by means of short 5 or 6 letter codes instead of long scientific names or ambiguous common names. EPPO codes are freely available in different formats through the EPPO Global Database platform and are implemented as a worldwide standard and used among scientists and experts in both industry and regulatory organizations. One of the large companies that adopted such codes is BASF, which uses them mainly in research and development to build their crop protection and seeds products. However, extracting the information is limited by fixed API calls or files that require additional processing steps. Facing these issues makes it difficult to use the available information flexibly, infer new data connections, or enrich it with external data sources. To overcome such limitations, BASF has developed an internal EPPO ontology to represent the list of codes provided by the EPPO Global Database as well as the regulatory categorization and relationship among them. This paper presents the development process of this ontology along with its enrichment process, which allows the reuse of relevant information available in an external knowledge source such as the NCBI Taxon. In addition, this paper describes the use and adoption of the EPPO ontology within the BASF's Agricultural Solutions division and the lessons learned during this work.https://www.frontiersin.org/articles/10.3389/frai.2023.1131667/fullEPPO codesontologiesplantsseedsdiseasespests |
| spellingShingle | Aarón Ayllón-Benitez José Antonio Bernabé-Diaz Paola Espinoza-Arias Iker Esnaola-Gonzalez Delphine S. A. Beeckman Bonnie McCaig Kristin Hanzlik Toon Cools Carlos Castro Iragorri Nicolás Palacios EPPO ontology: a semantic-driven approach for plant and pest codes representation Frontiers in Artificial Intelligence EPPO codes ontologies plants seeds diseases pests |
| title | EPPO ontology: a semantic-driven approach for plant and pest codes representation |
| title_full | EPPO ontology: a semantic-driven approach for plant and pest codes representation |
| title_fullStr | EPPO ontology: a semantic-driven approach for plant and pest codes representation |
| title_full_unstemmed | EPPO ontology: a semantic-driven approach for plant and pest codes representation |
| title_short | EPPO ontology: a semantic-driven approach for plant and pest codes representation |
| title_sort | eppo ontology a semantic driven approach for plant and pest codes representation |
| topic | EPPO codes ontologies plants seeds diseases pests |
| url | https://www.frontiersin.org/articles/10.3389/frai.2023.1131667/full |
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