Memorias de investigación
Ponencias en congresos:
MIRROR: Automatic R2RML Mapping Generation from Relational Databases
Año:2015

Áreas de investigación
  • Ingenierías

Datos
Descripción
Two W3C recommendations exist for the transformation of RDB content into RDF: Direct Mapping (DM) and R2RML. The DM recommendation specifies the set of fixed transformation rules, whilst R2RML allows customising them. Here we describe the MIRROR system, which generates two sets of R2RML mappings. First, it creates a set of mappings that allow any R2RML engine to generate a set of RDF triples homomorphic to the ones that a DM engine would generate (they only differentiate in the URIs used). This allows R2RML engines to exhibit a similar behaviour to that of DM engines. Second, it produces an additional set of R2RML mappings that allow generating triples resulting from the implicit knowledge encoded in relational database schemas, such as subclass-of and M-N relationships. We demonstrate the behaviour of MIRROR using the W3C DM Test Case together with an extended version of one of its databases.
Internacional
Si
Nombre congreso
15th International Conference on Web Engineering
Tipo de participación
960
Lugar del congreso
Rotterdam, the Netherlands
Revisores
Si
ISBN o ISSN
978-3-319-19889-7
DOI
Fecha inicio congreso
23/06/2015
Fecha fin congreso
26/06/2015
Desde la página
326
Hasta la página
343
Título de las actas
In Engineering the Web in the Big Data Era

Esta actividad pertenece a memorias de investigación

Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial