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SCRY: Enabling quantitative reasoning in SPARQL queries

Title: SCRY: Enabling quantitative reasoning in SPARQL queries
Authors: Meroño-Peñuela, A.; Stringer, Bas; Loizou, Antonis; Abeln, Sanne; Heringa, Jaap
Source: Meroño-Peñuela, A, Stringer, B, Loizou, A, Abeln, S & Heringa, J 2015, 'SCRY: Enabling quantitative reasoning in SPARQL queries', Semantic Web applications and tools for life sciences (SWAT4LS 2015), Cambridge, United Kingdom, 07/12/2015 - 10/12/2015.
Publication Year: 2015
Collection: KNAW: Research Explorer (Koninklijke Nederlandse Akademie van Wetenschappen / Royal Netherlands Academy of Arts and Sciences)
Description: 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.
Document Type: conference object
File Description: application/pdf
Language: English
Availability: https://pure.knaw.nl/portal/en/publications/a36c8c10-7646-4130-b2f6-8f3dd633abb3; https://hdl.handle.net/20.500.11755/a36c8c10-7646-4130-b2f6-8f3dd633abb3; https://pure.knaw.nl/ws/files/1697503/scry_enabling_quantitative.pdf
Rights: info:eu-repo/semantics/restrictedAccess
Accession Number: edsbas.1FAC4E4C
Database: BASE