Extended query language and composition for the XR data model

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.

Data and Resources

Additional Info

Field Value
Source https://inria.hal.science/hal-00879511
Author Deutsch, Alin, Goasdoué, François, Leblay, Julien, Manolescu, Ioana
Maintainer CCSD
Last Updated May 9, 2026, 04:04 (UTC)
Created May 9, 2026, 04:04 (UTC)
Identifier Report N°: RR-8391
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Department of Computer Science and Engineering [Univ California San Diego] (CSE - UC San Diego) ; University of California [San Diego] (UC San Diego) ; University of California (UC)-University of California (UC)
creator Deutsch, Alin
date 2013-11-04T00:00:00
harvest_object_id a03908ff-8aa1-454c-bc7b-d87eaeeb4903
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-01-23T00:00:00
set_spec type:REPORT