MDX2SPARQL: Semantic query mapping of OLAP query language to SPARQL

被引：0

作者：

Boumhidi, Haytem ^{[1
]}

Nfaoui, El Habib ^{[1
]}

Oubenaalla, Younes ^{[2
]}

机构：

[1] Univ Sidi Mohamed Ben Abdella, Fac Sci Dhar Mehraz, Dept Comp Sci, Fes, Morocco

[2] Moulay Ismail Univ, LERES Lab, OMEGA, Dept Comp Sci, Meknes, Morocco

来源：

2018 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND COMPUTER VISION (ISCV2018) | 2018年

关键词：

OLAP Queries; Linked data; SPARQL; MDX; RDF data cube; Mapping;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Currently, the amount of statistical linked data available on the Web is exponentially increasing. The need to exploit these data for analytical purposes becomes a priority. Online Analytical Processing (OLAP) presents a powerful solution for such task. However, OLAP systems require the implementation of Extract, Transform and Load (ETL) process. Furthermore, carrying out ETL on web data is time and materialization space consuming. This paper discusses an approach for directly querying the web data stored in RDF format (Resource Description Framework) as part of an OLAP interface through a mapping between MDX (MultiDimensional eXpressions) and SPARQL (Simple Protocol and RDF Query Language) without any materialization. This work proposes a first architecture validated by some scenarios. The obtained results shows the effectiveness of our method.

引用

页数：5

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