Design of a Framework to Support Reuse of Open Data about Agriculture

Online Datasets in Open Data Portals typically have minimal metadata and users wishing to consider their reuse in extended analyses are poorly served. One approach is to find and re-annotate the metadata according to subject-specific, community adopted vocabularies. In support of this we explore a multi-tiered framework combining the capabilities of a crawler, a tagger and a recommendation engine, as well as tools for the provisioning of data as discoverable services. We provide details of prototype scale implementations of these components and a cursory evaluation of the tagger for subject-specific metadata enrichment using the Global Agricultural Concept Scheme (GACS).