GeoSemOLAP: Geospatial OLAP on the Semantic Web Made Easy

被引：10

作者：

Gur, Nurefsan ^{[1
]}

Nielsen, Jacob ^{[1
]}

Hose, Katja ^{[1
]}

Pedersen, Torben Bach ^{[1
]}

机构：

[1] Aalborg Univ, Dept Comp Sci, Aalborg, Denmark

来源：

WWW'17 COMPANION: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB | 2017年

关键词：

Multidimensional RDF Data; Spatial OLAP; SPARQL;

D O I：

10.1145/3041021.3054731

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The proliferation of spatial data and the publication of multi-dimensional (MD) data on the Semantic Web (SW) has led to new opportunities for On-Line Analytical Processing (SOLAP) over spatial data using SPARQL. However, formulating such queries results in verbose statements and can easily become very difficult for inexperienced users. Hence, we have developed GeoSemOLAP to enable users without detailed knowledge of RDF and SPARQL to query the SW with SOLAP. GeoSemOLAP generates SPARQL queries based on high-level SOLAP operators and allows the user to interactively formulate queries using a graphical interface with interactive maps.

引用

页码：213 / 217

页数：5

共 6 条

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