Memorias de investigación
Communications at congresses:
On the Role of the GRAPH Clause in the Performance of Federated SPARQL Queries
Year:2017
Research Areas
  • Information technology and adata processing
Information
Abstract
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.
International
Si
Congress
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)
960
Place
Viena, Austria
Reviewers
Si
ISBN/ISSN
1613-0073
Start Date
21/10/2017
End Date
25/10/2017
From page
85
To page
91
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)
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial