Title: An exploratory SOLAP tool for linked open data

Authors: Daniel Farias Batista Leite; Cláudio De Souza Baptista; Brunna De Sousa Pereira Amorim

Addresses: Information Systems Laboratory, Federal University of Campina Grande, Campina Grande, Paraíba, Brazil ' Information Systems Laboratory, Federal University of Campina Grande, Campina Grande, Paraíba, Brazil ' Information Systems Laboratory, Federal University of Campina Grande, Campina Grande, Paraíba, Brazil

Abstract: Business intelligence (BI) technologies are being successfully applied in data analytics, including in the use of spatial data. The advent of the semantic web brought semantically rich and semi-structured data formats, such as resource description framework (RDF), which are external to the BI infrastructure. The integration of both conventional and semantic web data into a BI system results in a new category of analytical tools called exploratory OLAP. We extend exploratory OLAP with spatial capabilities, providing an exploratory SOLAP, called ExpSOLAP. ExpSOLAP is the first analytical tool that integrates semantic, spatial, semi-structured data with traditional spatial, structured data sources. Additionally, SOLAP queries can be posed in both data sources.

Keywords: business intelligence; exploratory SOLAP; ExpSOLAP; semantic web; ontology; linked data; SPARQL; spatial OLAP; SOLAP; open data; RDF; datawarehouse; business information systems; linked open data.

DOI: 10.1504/IJBIS.2019.101115

International Journal of Business Information Systems, 2019 Vol.31 No.3, pp.391 - 413

Received: 10 May 2017
Accepted: 15 Oct 2017
Published online: 24 Jul 2019 *

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