Extended query language and composition for the XR data model

Alin Deutsch 1 François Goasdoué 2, 3 Julien Leblay 4, 2 Ioana Manolescu 2, 4, *
* Corresponding author
2 OAK - Database optimizations and architectures for complex large data
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
3 PILGRIM - Gradedness, Imprecision, and Mediation in Database Management Systems
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : The XR data model allows capturing rich semistructured corpora of documents (XML) with annotations (RDF triples). A simple query language for XR was presented in previous work, which allowed to retrieve results from from XR databases but not to build new XR content. This work makes two contributions. First, we present an extension of the query language giving powerful content structuring and grouping capabilities which enables flexible generation of new XR results. Second, we provide a query-view composition algorithm which enables the efficient evaluation of XR queries over previously defined XR views.
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Alin Deutsch, François Goasdoué, Julien Leblay, Ioana Manolescu. Extended query language and composition for the XR data model. [Research Report] RR-8391, INRIA. 2013. ⟨hal-00879511⟩

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