A foundation for spatial data warehouses on the Semantic Web

被引：8

作者：

Gur, Nurefsan ^{[1
,2
]}

Pedersen, Torben Bach ^{[1
]}

Zimanyi, Esteban ^{[2
]}

Hose, Katja ^{[1
]}

机构：

[1] Aalborg Univ, Ctr Data Intens Syst, Selma Lagerlofsvej 300, DK-9220 Aalborg O, Denmark

[2] Univ Libre Bruxelles, Dept Comp & Decis Engn, Ave FD Roosevelt 50, B-1050 Brussels, Belgium

来源：

SEMANTIC WEB | 2018年 / 9卷 / 05期

关键词：

Spatial OLAP; spatial data; multidimensional data; data modelling; RDF; SPARQL; OLAP;

D O I：

10.3233/SW-170281

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：557 / 587

页数：31

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