View Selection in Semantic Web DatabasesReport as inadecuate




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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 2 LRI - Laboratoire de Recherche en Informatique

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.





Author: François Goasdoué - Konstantinos Karanasos - Julien Leblay - Ioana Manolescu -

Source: https://hal.archives-ouvertes.fr/



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