Paper submitted to SWAT4LS 2018. We introduce rdf2neo, a tool to populate
Neo4j databases starting from RDF data sets, based on a configurable mapping
between the two. By employing agrigenomics-related real use cases, we show how
such mapping can allow for a hybrid approach to the management of networked
knowledge, based on taking advantage of the best of both RDF and property
Designing Future Wheat (DFW) strategic programme (BB/P016855/1) funded by the Biotechnology and Biological Sciences Research Council (BBSRC).