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View Selection in Semantic Web Databases

François Goasdoué 1, 2 Konstantinos Karanasos 1, 2, * Julien Leblay 1, 2 Ioana Manolescu 1, 2 
* Corresponding author
1 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 : We consider the setting of a Semantic Web database, containing both explicit data encoded in RDF triples, and implicit data, implied by the RDF semantics. Based on a query workload, we address the problem of selecting a set of views to be materialized in the database, minimizing a combination of query processing, view storage, and view maintenance costs. Starting from an existing relational view selection method, we devise new algorithms for recommending view sets, and show that they scale significantly beyond the existing relational ones when adapted to the RDF context. To account for implicit triples in query answers, we propose a novel RDF query reformulation algorithm and an innovative way of incorporating it into view selection in order to avoid a combinatorial explosion in the complexity of the selection process. The interest of our techniques is demonstrated through a set of experiments.
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Reports (Research report)
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Submitted on : Thursday, September 15, 2011 - 2:35:39 PM
Last modification on : Friday, October 28, 2022 - 3:28:44 AM
Long-term archiving on: : Monday, December 5, 2016 - 1:13:52 AM


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  • HAL Id : inria-00623942, version 1


François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu. View Selection in Semantic Web Databases. [Research Report] RR-7738, INRIA. 2011, pp.48. ⟨inria-00623942⟩



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