Memorias de investigación
Ponencias en congresos:
On the Role of the GRAPH Clause in the Performance of Federated SPARQL Queries
Año:2017
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Federated SPARQL queries give unified answers from multiple and distributed SPARQL endpoints. A good example may be the collection of stops from different transport companies in the same city to create a route planning application. The performance of the evaluation of these types of queries is usually poor, a fact that makes difficult their use in real-life applications that need good performance requirements. In this paper we present a preliminary analysis on the improvement that can be achieved by using the GRAPH clause in federated SPARQL queries. The main goal is to reduce the search space of such queries by setting the NAMED GRAPH to the graph pattern where the corresponding patterns should be evaluated. We perform a preliminary comparison between a federated query and a rewriting that uses systematically the GRAPH clause. These experiments show that the inclusion of the GRAPH clause may only improve performance of query evaluation between 5% and 10%. These early findings suggest that, although the GRAPH clause may indeed play a role in speeding up federated SPARQL queries, hurdles are yet to be overcome when using the GRAPH clause as named graphs are semantically ambiguous.
Internacional
Si
Nombre congreso
4th International Workshop on Dataset PROFIling and fEderated Search for Web Data (PROFILES 2017) co-located with The 16th International Semantic Web Conference (ISWC 2017)
Tipo de participación
960
Lugar del congreso
Viena, Austria
Revisores
Si
ISBN o ISSN
1613-0073
DOI
Fecha inicio congreso
21/10/2017
Fecha fin congreso
25/10/2017
Desde la página
85
Hasta la página
91
Título de las actas
Proceedings of the 4th International Workshop on Dataset PROFIling and fEderated Search for Web Data (PROFILES 2017) co-located with The 16th International Semantic Web Conference (ISWC 2017)
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