problem, as RDF enables data to be interconnected between several databases. This work aims to find a way to interconnect efficiently a MongoDB database with another RDF database.

As a proof of concept, we decided to use the Gigwa [1] and AgroLD [2] database applications to demonstrate the benefits of leveraging data semantics on a high volume of genomic data. Gigwa is a web application designed to store large volumes of genotypes (up to tens of billions), initially imported from VCF or other file formats, in a MongoDB [3] database, and to provide a straightforward interface for filtering these data. It makes it possible to navigate within search results, visualize them in different ways, and re-export subsets of data into various common formats. AgroLD is a knowledge graph that exploits Semantic Web technologies to integrate data of interest for the plant science community. AgroLD is built incrementally spanning vast aspects of plant molecular interactions. The current phase covers information on genes, proteins, predictions of homologous genes, metabolic pathways, plant trait associations and genetic studies. For this work, we first developed an RDF model based on existing ontologies and inspired by DisGeNET [4]. We extended it with some features needed for the Gigwa data model which integrates gene annotation information. Then we developed some SPARQL Micro-Services [5] using the Gigwa RESTFul API. Finally, we developed and evaluated some queries interconnecting Gigwa and AgroLD through SPARQL query examples.