A Foundation for Spatial Data Warehouses on the Semantic Web

Nurefsan Gur; Torben Bach Pedersen; Esteban Zimányi; Katja Hose

doi:10.3233/SW-170281

A Foundation for Spatial Data Warehouses on the Semantic Web 

Nurefsan Gur, Torben Bach Pedersen, Esteban Zimányi, Katja Hose

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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Abstract

Large volumes of geospatial data are being published on the Semantic Web (SW), yielding a need for advanced analysis of such data. However, existing SW technologies only support advanced analytical concepts such as multidimensional (MD) data warehouses and Online Analytical Processing (OLAP) over non-spatial SW data. To remedy this need, this paper presents the QB4SOLAP vocabulary, which supports spatially enhanced MD data cubes over RDF data. The paper also defines a
number of Spatial OLAP (SOLAP) operators over QB4SOLAP cubes and provides algorithms for generating spatially extended SPARQL queries from the SOLAP operators. The proposals are validated by applying them to a realistic use case.

Originalsprog	Engelsk
Tidsskrift	Semantic Web
Vol/bind	9
Udgave nummer	5
Sider (fra-til)	557-587
Antal sider	30
ISSN	1570-0844
DOI	https://doi.org/10.3233/SW-170281
Status	Udgivet - 2018

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10.3233/SW-170281

SWJ2017spatialAccepteret manuskript, 1,67 MB

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Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

QWeb: Querying the Web of Data Easily and Efficiently
Hose, K., Montoya, G., Prado, L. A. G. D., Rouces, J., Mathiassen, K. A. M., Zervakis, E. & Setty, V.
01/02/2015 → 31/10/2019
Projekter: Projekt › Forskning

Citationsformater

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title = "A Foundation for Spatial Data Warehouses on the Semantic Web ",

abstract = "Large volumes of geospatial data are being published on the Semantic Web (SW), yielding a need for advanced analysis of such data. However, existing SW technologies only support advanced analytical concepts such as multidimensional (MD) data warehouses and Online Analytical Processing (OLAP) over non-spatial SW data. To remedy this need, this paper presents the QB4SOLAP vocabulary, which supports spatially enhanced MD data cubes over RDF data. The paper also defines anumber of Spatial OLAP (SOLAP) operators over QB4SOLAP cubes and provides algorithms for generating spatially extended SPARQL queries from the SOLAP operators. The proposals are validated by applying them to a realistic use case.",

author = "Nurefsan Gur and Pedersen, {Torben Bach} and Esteban Zim{\'a}nyi and Katja Hose",

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doi = "10.3233/SW-170281",

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journal = "Semantic Web",

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T1 - A Foundation for Spatial Data Warehouses on the Semantic Web 

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AU - Pedersen, Torben Bach

AU - Zimányi, Esteban

AU - Hose, Katja

PY - 2018

Y1 - 2018

N2 - Large volumes of geospatial data are being published on the Semantic Web (SW), yielding a need for advanced analysis of such data. However, existing SW technologies only support advanced analytical concepts such as multidimensional (MD) data warehouses and Online Analytical Processing (OLAP) over non-spatial SW data. To remedy this need, this paper presents the QB4SOLAP vocabulary, which supports spatially enhanced MD data cubes over RDF data. The paper also defines anumber of Spatial OLAP (SOLAP) operators over QB4SOLAP cubes and provides algorithms for generating spatially extended SPARQL queries from the SOLAP operators. The proposals are validated by applying them to a realistic use case.

AB - Large volumes of geospatial data are being published on the Semantic Web (SW), yielding a need for advanced analysis of such data. However, existing SW technologies only support advanced analytical concepts such as multidimensional (MD) data warehouses and Online Analytical Processing (OLAP) over non-spatial SW data. To remedy this need, this paper presents the QB4SOLAP vocabulary, which supports spatially enhanced MD data cubes over RDF data. The paper also defines anumber of Spatial OLAP (SOLAP) operators over QB4SOLAP cubes and provides algorithms for generating spatially extended SPARQL queries from the SOLAP operators. The proposals are validated by applying them to a realistic use case.

U2 - 10.3233/SW-170281

DO - 10.3233/SW-170281

M3 - Journal article

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ER -

A Foundation for Spatial Data Warehouses on the Semantic Web

Abstract

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AUB Link

Fingeraftryk

Projekter

QWeb: Querying the Web of Data Easily and Efficiently

Citationsformater

A Foundation for Spatial Data Warehouses on the Semantic Web 