View Selection in Semantic Web Databases

François Goasdoué 1, 2 Konstantinos Karanasos 1, 2 Julien Leblay 1, 2 Ioana Manolescu 1, 2
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, im- plied by the RDF semantics. Based on a query workload, we ad- dress 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 rela- tional view selection method, we devise new algorithms for recom- mending 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 in- corporating 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.
Document type :
Journal articles
Complete list of metadatas

Cited literature [24 references]  Display  Hide  Download

https://hal.inria.fr/inria-00625090
Contributor : Ioana Manolescu <>
Submitted on : Tuesday, September 20, 2011 - 4:41:01 PM
Last modification on : Thursday, April 5, 2018 - 12:30:08 PM
Long-term archiving on : Sunday, December 4, 2016 - 1:34:28 PM

File

paper.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00625090, version 1

Collections

Citation

François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu. View Selection in Semantic Web Databases. Proceedings of the VLDB Endowment (PVLDB), VLDB Endowment, 2011, 5 (2). ⟨inria-00625090⟩

Share

Metrics

Record views

461

Files downloads

229