SCRY: Enabling quantitative reasoning in SPARQL queries

The inability to include quantitative reasoning in SPARQL queries slows down the application of Semantic Web technology in the life sciences. SCRY, our SPARQL compatible service layer, improves this by executing services at query time and making their outputs query-accessible, generating RDF data on demand. The power of this approach is demonstrated with two use cases, where we use SCRY to calculate standard deviations and to find homologous proteins.