A WASP doctoral student and knowledge engineer in the research group "AI for data management" at the Department of Computing Science led by Prof. Dr. Diego Calvanese.
Data never sleeps. It is continuously generated in different formats and volumes from multiple sources. A practical data management framework is needed to combine, process, and manage this growing data and provide rich answers that help in decision-making problems in daily life and business. Numerous scientific and industrial applications have produced data in multidimensional format at a massive scale, leading to management and processing bottlenecks. Traditional relational database management systems (RDBMS) cannot handle the RASTER data in its native format (e.g. multidimensional arrays). The Virtual Knowledge Graph (VKG) paradigm makes it easier to access different types of data sources by using an ontology to represent the domain of interest and declarative mapping to connect this ontology to relational data sources. In this paper, we extend the existing VKG system to manage large heterogeneous satellite data, known as raster data, combined with relational data.
My research interests are the following,
A pursuit in this proposed scientific research will direct me in the proper trajectory and also it will equip me with the support and clarity that will consequently add to the quality of my research
My hobbies include photography, astronomy, music, arts, graphic designing and long walking.