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EPPO ontology: a semantic-driven approach for plant and pest codes representation
Aarón Ayllón-Benitez1, José Antonio Bernabé-Diaz1, Paola Espinoza-Arias1
1BASF Digital Solutions, Madrid, Spain.
Frontiers in Artificial Intelligence
|July 5, 2023
Summary
BASF developed an internal EPPO ontology to harmonize plant protection data. This ontology integrates European and Mediterranean Plant Protection Organization (EPPO) codes, enabling flexible data use and enrichment with external sources like NCBI Taxon.
Area of Science:
- Agricultural Science
- Bioinformatics
- Ontology Engineering
Background:
- Harmonized classification systems are crucial for plant protection and pest management across regulatory bodies and industry.
- The European and Mediterranean Plant Protection Organization (EPPO) codes provide a standardized method for organism identification, simplifying communication and data exchange.
- Existing methods for accessing EPPO code data present limitations, hindering flexible data utilization and integration with external knowledge bases.
Purpose of the Study:
- To develop an internal EPPO ontology for BASF's Agricultural Solutions division to represent and manage EPPO codes and their relationships.
- To overcome limitations in accessing and utilizing EPPO data, enabling more flexible data integration and enrichment.
- To present the development, enrichment, and adoption process of the EPPO ontology within BASF.
Main Methods:
- Development of an internal ontology to model EPPO codes, regulatory categorizations, and relationships.
- Enrichment of the ontology by integrating data from external knowledge sources, specifically NCBI Taxon.
- Implementation and adoption of the ontology within BASF's research and development workflows for crop protection and seeds products.
Main Results:
- A comprehensive internal EPPO ontology was successfully developed and implemented.
- The ontology facilitates flexible data access, enabling new data connections and enrichment with external information.
- The ontology has been adopted within BASF's Agricultural Solutions division, improving data management and research capabilities.
Conclusions:
- The developed EPPO ontology provides a robust solution for managing and utilizing plant protection data within BASF.
- Ontology development and enrichment with external data sources like NCBI Taxon enhance data interoperability and research efficiency.
- Lessons learned from the ontology's development and adoption offer valuable insights for similar initiatives in the agricultural industry.
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