Semantic Annotation of the CEREALAB database by the AGROVOC Linked Dataset

Nowadays, there has been an increment of open data government initiatives promoting the idea that particular data should be freely published. However, the great majority of these resources is published in an unstructured format and is typically accessed only by closed communities. Starting from these considerations, in a previous work related to a youth precariousness dataset, we proposed an experimental and preliminary methodology or facilitating resource providers in publishing public data into the Linked Open Data (LOD) cloud, and for helping consumers (companies and citizens) in efficiently accessing and querying them. Linked Open Data play a central role for accessing and analyzing the rapidly growing pool of life science data and, as discussed in recent meetings, it is important for data source providers themselves making their resources available as Linked Open Data. In this paper we extend and apply our methodology to the agricultural domain, i.e. to the CEREALAB database, created to store both genotypic and phenotypic data and specifically designed for plant breeding, in order to provide its publication into the LOD cloud.