Digital agriculture relies increasingly on the generation of large quantity of data and their analysis. However, data are often collected, described, and stored in inconsistent ways, making data manipulation challenging and time-consuming. This situation impedes data comparison, mining and interpretation for meta-analysis, as well as data reuse in models and decision-support tools. The use of ontologies for metadata and for data annotation play a key role in addressing these challenges. This session will provide an introduction on use of ontologies to enhance data annotation followed by a presentation on how the annotation tool COPO facilitates this operation and how Gardian eases the search among annotated data. The presentations will be followed by a discussion with the speakers and the audience.
