Observatorio de I+D+i UPM

Descripción
R2RML is used to specify transformations of data available in relational databases into materialised or virtual RDF datasets. SPARQL queries evaluated against virtual datasets are translated into SQL queries according to the R2RML mappings, so that they can be evaluated over the underlying relational database engines. In this paper we describe an extension of a well-known algorithm for SPARQL to SQL translation, originally formalised for RDBMS-backed triple stores, that takes into account R2RML mappings. We present the result of our implementation using queries from a synthetic benchmark and from three real use cases, and show that SPARQL queries can be in general evaluated as fast as the SQL queries that would have been generated by SQL experts if no R2RML mappings had been used.
Internacional	Si
Nombre congreso	23rd International World Wide Web Conference
Tipo de participación	960
Lugar del congreso	Seoul, South Korea
Revisores	Si
ISBN o ISSN
DOI
Fecha inicio congreso	07/04/2014
Fecha fin congreso	11/04/2014
Desde la página	479
Hasta la página	490
Título de las actas

Esta actividad pertenece a memorias de investigación

• Autor: Freddy Priyatna . (UPM)
• Autor: Oscar Corcho Garcia (UPM)
• Autor: Juan Sequeda (University of Texas at Austin)

• Creador: Departamento: Inteligencia Artificial