Ontology for Seamless Integration of Agricultural Data and Models
This paper presents a set of ontologies developed in order to facilitate the integration of a variety of combinatorial, simulation and op- timization models related to agriculture. The developed ontologies have been exploited in the software lifecycle, by using them to specify data communication across the models, and with a relational database. The Seamless ontologies provide with definitions for crops and crop products, agricultural feasibility filters, agricultural management, and economic valuation of crop products, and agricultural and environmental policy, which are in principle the main types of data exchanged by the models. Issues related to translating data structures between model program- ming languages have been successfully tackled by employing annotations in the ontology.
I. N. Athanasiadis, A.-E. Rizzoli, S. Janssen, E. Andersen, F. Villa, Ontology for Seamless Integration of Agricultural Data and Models, 3rd Intl Conf on Metadata and Semantics Research (MTSR'09), CCIS, vol. 46, pg. 282-293, 2009, Springer-Verlag, doi:10.1007/978-3-642-04590-5_27.
You might also enjoy (View all publications)
- Advances and New Trends in Environmental Informatics. Digital Twins for Sustainability
- Improving predictive performance on survival in dairy cattle using an ensemble learning approach
- Software architectures for big data: a systematic literature review