Computational Infrastructure and Services provides the computing environment and shared technical services that support OntoKG’s research, development, and experimentation. This area develops and maintains access to computational resources, graph databases, APIs, authentication mechanisms, and integration services, enabling teams to work with knowledge graphs and machine learning workloads across project environments. Its activities address deployment, monitoring, performance, resource availability, and the coordination of competing computational demands. The area also investigates AI-assisted infrastructure diagnosis, including the evaluation of agents against known technical faults. Within OntoKG, it provides the operational foundation for connecting research components, running experiments, and making tools available to collaborators, supporting the progression from individual prototypes toward integrated and evaluable solutions.
Team
Current team

João Cesar Netto
D.Sc.

Juliano Araújo Wickboldt
Ph.D.

Rafael Hillebrand Alexandrini
B.Sc. Student

Vicente Pianezzola
B.Sc. Student

Rafael Antonio Ventura Trevisan
M.Sc. Student
