The Generation Challenge Programme Model-Driven Architecture: Scientific Domain Model and Ontology GenevieveMaeAquino Crop Research Informatics Laboratory International Rice Research Institute (IRRI)
Philippines
Crop Research Informatics Laboratory -Centro Internacional de Mejoramiento de Maz y Trigo (CIMMYT)
Mexico
JeffreyDetras Crop Research Informatics Laboratory International Rice Research Institute (IRRI)
Philippines
RosemaryShrestha Crop Research Informatics Laboratory -Centro Internacional de Mejoramiento de Maz y Trigo (CIMMYT)
Mexico
MartinSenger Crop Research Informatics Laboratory International Rice Research Institute (IRRI)
Philippines
KevinManansala Crop Research Informatics Laboratory International Rice Research Institute (IRRI)
Philippines
ElizabethArnaud Bioversity International
Montpellier France
ReinhardSimon Centro Internacional de la Papa (CIP)
Peru
JayashreeBalaji International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)
India
ThomasHazekamp Bioversity International
Rome Italy
GuyDavenport Crop Research Informatics Laboratory International Rice Research Institute (IRRI)
Philippines
Crop Research Informatics Laboratory -Centro Internacional de Mejoramiento de Maz y Trigo (CIMMYT)
Mexico
GrahamMclaren Crop Research Informatics Laboratory International Rice Research Institute (IRRI)
Philippines
Centre for Genetic Resources Wageningen Universiteit en Researchcentrum (WUR)
The Netherlands
TheoVan Hintum RichardBruskiewich1 Crop Research Informatics Laboratory International Rice Research Institute (IRRI)
Philippines
The Generation Challenge Programme Model-Driven Architecture: Scientific Domain Model and Ontology 4F238F75A42BF9981DD175321363BE1F GROBID - A machine learning software for extracting information from scholarly documents

The Generation Challenge Programme (GCP; http://www.generationcp. org) is a globally-distributed crop research consortium directed toward crop improvement through the application of comparative biology and genetic resources characterization to plant breeding. To achieve interoperability and integration within the GCP across diverse data types published by project-distributed data sources and consumed by end-user data analysis tools, the GCP adopted the development paradigm of a "model-driven architecture". At the core of the GCP architecture is a scientific domain model, heavily parameterized with GCP-indexed ontology. The GCP scientific domain model is an object model that encapsulates key crop science concepts and is documented using Unified Modeling Language. The GCP-indexed ontology reuses established international standards where available, converts other publicly-available controlled vocabulary into formallymanaged ontology, and develops novel ontology if no public vocabularies yet exist. The GCP architecture is being translated into various open source objectoriented software libraries and into data types for various public semantic web protocols. The GCP model-driven architecture is specified as a common semantic framework for the implementation of interoperability and integration of diverse crop data sets and analysis tools. The architecture and associated open source software are accessible at http://pantheon.generationcp.org Key words: crop informatics, agriculture, ontology, domain model Presenting author. Corresponding author: r.bruskiewich@cgiar.org