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research-article

An exploratory SOLAP tool for linked open data

Published: 01 January 2019 Publication History

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.

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  1. An exploratory SOLAP tool for linked open data
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        Published In

        cover image International Journal of Business Information Systems
        International Journal of Business Information Systems  Volume 31, Issue 3
        2019
        150 pages
        ISSN:1746-0972
        EISSN:1746-0980
        DOI:10.1504/ijbis.2019.31.issue-3
        Issue’s Table of Contents

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        Inderscience Publishers

        Geneva 15, Switzerland

        Publication History

        Published: 01 January 2019

        Author Tags

        1. business intelligence
        2. exploratory SOLAP
        3. ExpSOLAP
        4. semantic web
        5. ontology
        6. linked data
        7. SPARQL
        8. spatial OLAP
        9. SOLAP
        10. open data
        11. RDF
        12. datawarehouse
        13. business information systems
        14. linked open data

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