Towards semantic Geo/BI: a novel approach for semantically enriching Geo/BI data with OWL ontological layers (OOLAP and ODW) to enable semantic exploration, analysis and discovery of geospatial business intelligence knowledge
Автор: Belko Abdoul Aziz Diallo, Thierry Badard, Frédéric Hubert, Sylvie Daniel
Журнал: International Journal of Information Engineering and Electronic Business @ijieeb
Статья в выпуске: 6 vol.10, 2018 года.
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To contribute in filling up the semantic gap in data warehouses and OLAP data cubes, and enable semantic exploration and reasoning on them, this paper highlights the need for semantically augmenting Geo/BI data with convenient semantic relations, and provides OWL-based ontologies (ODW and OOLAP) which are capable of replicating data warehouses (respectively OLAP data cubes) in the form semantic data with respect of Geo/BI data structures, and which enable the possibility of augmenting these semantic BI data with semantic relations. Moreover, the paper demonstrates how ODW and OOLAP ontologies can be combined to current Geo/BI data structures to deliver either pure semantic Geo/BI data or mixed semantically interrelated Geo/BI data to business professionals.
Business Intelligence, Geospatial Business Intelligence, semantic Geo/BI, OLAP, Data warehouse, metadata, semantic gap, semantic relations, data semantics, OWL Ontology, semantic layer, data analysis, knowledge discovery, Decision support
Короткий адрес: https://sciup.org/15016150
IDR: 15016150 | DOI: 10.5815/ijieeb.2018.06.01
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