Belko Abdoul Aziz Diallo

Work place: West African Science Service Centre on Climate Change and Adapted Land Use (WASCAL), Competence Centre, Ouagadougou, Burkina Faso

E-mail: diallo.b@wascal.org

Website:

Research Interests: Information Storage Systems, Data Structures and Algorithms

Biography

Belko Abdoul Aziz Diallo, Eng., PhD. (male) is a GIS and Big Data scientist. He holds the position of Senior Data Manager at the Competence center of WASCAL (West African Science Service Centre on Climate Change and Adapted Land Use). He completed his PhD research program on mobile Geospatial Business Intelligence at University of Laval (Québec, Canada).
After the completion of his PhD, he has been serving as founder and CEO of a consultancy IT company, autonomous researcher, and visiting professor in several universities where he taught Geomatics, Data Mining, Internet Protocols, Web and Databases integration, Multi-layered Architectures, etc. Dr. Diallo has cumulated more than ten years of experience in conducting IT, teaching, and research and development activities in Burkina Faso and Canada. He joined WASCAL to head the data management and ICT unit. His fields of interest are related to Data Acquisition and Metadata Management, Data Transformation Storage and Quality Management, IT Architecture and Data Center Management, Data Warehousing and Decision support Management, Data/knowledge Visualization and Dissemination, Data Policy and security Management, etc.
Dr. Diallo is involved in the publications of several international peer-reviewed journals and conference talks. He is member of DAMA-I, the Data Management Association International, a Global Data Management Community.

Author Articles
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

By Belko Abdoul Aziz Diallo Thierry Badard Frederic Hubert Sylvie Daniel

DOI: https://doi.org/10.5815/ijieeb.2018.06.01, Pub. Date: 8 Nov. 2018

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.

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