Querying semantic web data cubes

Ponencia en Congreso:
Querying semantic web data cubes

dc.contributor.author	Etcheverry, Lorena
dc.contributor.author	Vaisman, Alejandro Ariel
dc.date.accessioned	2022-04-22T14:01:33Z
dc.date.available	2022-04-22T14:01:33Z
dc.date.issued	2016
dc.description.abstract	"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."	en
dc.identifier.issn	1613-0073
dc.identifier.uri	http://ri.itba.edu.ar/handle/123456789/3814
dc.language	en
dc.subject	OLAP	es
dc.subject	WEB SEMANTICA	es
dc.subject	ALGEBRA	es
dc.subject	SPARQL	es
dc.title	Querying semantic web data cubes	en
dc.type	Ponencias en Congresos	es
dspace.entity.type	Ponencia en Congreso
itba.description.filiation	Fil: Etcheverry, Lorena. Universidad de la República; Uruguay.
itba.description.filiation	Fil: Vaisman, Alejandro Ariel. Instituto Tecnológico de Buenos Aires; Argentina.