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Querying semantic web data cubes

Etcheverry, Lorena et al · RI ITBA · 2022

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Author / responsible party
Etcheverry, Lorena et al
Publisher
RI ITBA
Year
2022
ISSN
1613-0073
ISSN
1613-0073
Language
English

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Summary

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"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."

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APA 7

Etcheverry, L. E. A. (2022). Querying semantic web data cubes. RI ITBA. http://ri.itba.edu.ar/handle/20.500.14769/3814

MLA

Etcheverry, Lorena et al. Querying semantic web data cubes. RI ITBA, 2022. http://ri.itba.edu.ar/handle/20.500.14769/3814.

Chicago

Etcheverry, Lorena et al. 2022. Querying semantic web data cubes. RI ITBA. http://ri.itba.edu.ar/handle/20.500.14769/3814.

Harvard

Etcheverry, L. E. A. 2022, Querying semantic web data cubes, RI ITBA, available at: http://ri.itba.edu.ar/handle/20.500.14769/3814 [Accessed 8 Aug. 2026].

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Resource details

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Title
Querying semantic web data cubes
Author / contributors
Etcheverry, Lorena et al
Publisher
RI ITBA
Publication year
2022
ISSN
1613-0073
ISSN
1613-0073
Language
English

Subjects

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OLAP; WEB SEMANTICA; ALGEBRA; SPARQL
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