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RDFViewS: A Storage Tuning Wizard for RDF Applications

François Goasdoué 1 Konstantinos Karanasos 2, * Julien Leblay 2 Ioana Manolescu 1, 2 
* Corresponding author
2 LEO - Distributed and heterogeneous data and knowledge
UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : In recent years, the significant growth of RDF data used in numerous applications has made its efficient and scalable manipulation an important issue. In this paper, we present RDFViewS, a system capable of choosing the most suitable views to materialize, in order to minimize the query response time for a specific SPARQL query workload, while taking into account the view maintenance cost and storage space constraints. Our system employs practical algorithms and heuristics to navigate through the search space of potential view configurations, and exploits the possibly available semantic information - expressed via an RDF Schema - to ensure the completeness of the query evaluation.
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Submitted on : Tuesday, August 10, 2010 - 12:05:58 PM
Last modification on : Sunday, June 26, 2022 - 11:52:04 AM
Long-term archiving on: : Friday, November 12, 2010 - 11:41:12 AM


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  • HAL Id : inria-00509125, version 1
  • ARXIV : 1008.2186



François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu. RDFViewS: A Storage Tuning Wizard for RDF Applications. ACM International Conference on Information and Knowledge Management, Oct 2010, Toronto, Canada. ⟨inria-00509125⟩



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