The EPPO ontology aims to represent the information available in the EPPO Global database and the relationships between the concepts identified therein. Therefore, this ontology is not limited to be used by a specific application, but has been developed in the interest of having a single, harmonized, and flexible source of the EPPO code system information.
The scope of the vocabulary include taxonomic and non-taxonomic codes along with their code types, parent-child relationship per code, phytosanitary categorization, and their taxonomy level (if applicable). Further details on the information available in taxonomic and non-taxonomic classifications is presented in the following figure:
This ontology was developed according to the development lifecycle and guidelines proposed in the BASF Governance Operational Model for Ontologies (GOMO).
The requirements can be found here, and are specified with an identifier, competency question and expected answer.
This conceptual model shows a general overview of the classes and properties of the ontology. This model is depicted as a diagram which follows the Chowlk notation.
Note that, due to the large number of terms contained in the EPPO Global database, this diagram only shows the main classes and properties represented in the ontology, but the ontology file contains all the hierarchical classifications included in the database for each class depicted in the diagram.
The encoded ontology in the Web Ontology Language (OWL) can be found here.
Contributions to improve the ontology or address any issues are welcome. The management of issues and improvements suggested for this ontology is done by addressing issues in the repository. In order to push your contribution, just push your pull request to the develop branch. The master branch has only the code associated to the latest release.
If you used the EPPO ontology in your work, please cite the Frontiers in Artificial Intelligence paper:
@ARTICLE{10.3389/frai.2023.1131667,
AUTHOR={Ayllón-Benitez, Aarón and Bernabé-Diaz, José Antonio and Espinoza-Arias, Paola and Esnaola-Gonzalez, Iker and Beeckman, Delphine S. A. and McCaig, Bonnie and Hanzlik, Kristin and Cools, Toon and Castro Iragorri, Carlos and Palacios, Nicolás},
TITLE={EPPO ontology: a semantic-driven approach for plant and pest codes representation},
JOURNAL={Frontiers in Artificial Intelligence},
VOLUME={6},
YEAR={2023},
URL={https://www.frontiersin.org/articles/10.3389/frai.2023.1131667},
DOI={10.3389/frai.2023.1131667}
}- Aarón Ayllón-Benitez - [email protected]
- José Antonio Bernabé-Diaz - [email protected]
- Paola Espinoza-Arias - [email protected]
- Iker Esnaola-Gonzalez - [email protected]
- Delphine S.A. Beeckman - [email protected]
- Bonnie McCaig - [email protected]
- Kristin Hanzlik - [email protected]
- Toon Cools - toon.cools@[email protected]
- Carlos Castro Iragorri
- Nicolás Palacios
BASF, May 2023 - Present