Querying semantic web data cubes

"We address the problem of querying data cubes for Online Analytical Processing (OLAP) analysis, directly on the Semantic Web (SW). We rst introduce CQL, a simple algebra for querying data cubes at a conceptual level. Taking advantage of QB4OLAP metadata, we automatically translate CQL querie...

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Detalles Bibliográficos
Autores principales: Etcheverry, Lorena, Vaisman, Alejandro Ariel
Formato: Ponencias en Congresos
Lenguaje:Inglés
Publicado: 2022
Materias:
OLAP
WEB SEMANTICA
ALGEBRA
SPARQL
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/3814
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-3814
record_format dspace
spelling I32-R138-123456789-38142022-12-07T14:14:02Z Querying semantic web data cubes Etcheverry, Lorena Vaisman, Alejandro Ariel OLAP WEB SEMANTICA ALGEBRA SPARQL "We address the problem of querying data cubes for Online Analytical Processing (OLAP) analysis, directly on the Semantic Web (SW). We rst introduce CQL, a simple algebra for querying data cubes at a conceptual level. Taking advantage of QB4OLAP metadata, we automatically translate CQL queries into SPARQL ones, and propose query optimization strategies that adapt, to the particular OLAP set ting, general-purpose techniques. A web application allows exploring and querying OLAP cubes on the SW, using the machinery presented here." 2022-04-22T14:01:33Z 2022-04-22T14:01:33Z 2016 Ponencias en Congresos 1613-0073 http://ri.itba.edu.ar/handle/123456789/3814 en application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic OLAP
WEB SEMANTICA
ALGEBRA
SPARQL
spellingShingle OLAP
WEB SEMANTICA
ALGEBRA
SPARQL
Etcheverry, Lorena
Vaisman, Alejandro Ariel
Querying semantic web data cubes
topic_facet OLAP
WEB SEMANTICA
ALGEBRA
SPARQL
description "We address the problem of querying data cubes for Online Analytical Processing (OLAP) analysis, directly on the Semantic Web (SW). We rst introduce CQL, a simple algebra for querying data cubes at a conceptual level. Taking advantage of QB4OLAP metadata, we automatically translate CQL queries into SPARQL ones, and propose query optimization strategies that adapt, to the particular OLAP set ting, general-purpose techniques. A web application allows exploring and querying OLAP cubes on the SW, using the machinery presented here."
format Ponencias en Congresos
author Etcheverry, Lorena
Vaisman, Alejandro Ariel
author_facet Etcheverry, Lorena
Vaisman, Alejandro Ariel
author_sort Etcheverry, Lorena
title Querying semantic web data cubes
title_short Querying semantic web data cubes
title_full Querying semantic web data cubes
title_fullStr Querying semantic web data cubes
title_full_unstemmed Querying semantic web data cubes
title_sort querying semantic web data cubes
publishDate 2022
url http://ri.itba.edu.ar/handle/123456789/3814
work_keys_str_mv AT etcheverrylorena queryingsemanticwebdatacubes
AT vaismanalejandroariel queryingsemanticwebdatacubes
_version_ 1765660835061956608

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